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000-071 xSeries Technical Principles

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000-071 exam Dumps Source : xSeries Technical Principles

Test Code : 000-071
Test title : xSeries Technical Principles
Vendor title : IBM
: 270 actual Questions

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IBM xSeries Technical Principles

Database Administration: creating the Database atmosphere | killexams.com actual Questions and Pass4sure dumps

organising a usable database environment requires a fine deal of ability, advantage, and consideration. This chapter will define the concepts concerned in organising a usable database ambiance.

This chapter is from the ebook 

probably the most simple tasks linked to the job of DBA is the system of deciding on and installation a DBMS. regrettably, many company executives and IT gurus without database administration tradition hope that once the DBMS is installed, the majority of the labor is finished. The assurance is, selecting and installing the DBMS is infrequently essentially the most problematic fraction of a DBA’s job. setting up a usable database environment requires a pleasant deal of ability, expertise, and consideration. This chapter will define the ideas involved in organising a usable database atmosphere.

The technique of identifying an arrogate DBMS for commerce database administration isn't as problematic as it used to be. The number of main DBMS vendors has dwindled due to trade consolidation and domination of the sector by passage of just a few very gigantic players.

Yet, gigantic and medium-measurement businesses typically rush multiple DBMS items, from as few as two to as many as ten. for example, it is not several for a large commerce to spend IMS or IDMS and DB2 on the mainframe, Oracle and MySQL on a number of several UNIX servers, Microsoft SQL Server on windows servers, as well as pockets of different DBMS items equivalent to Sybase, Ingres, Adabas, and PostgreSQL on a considerable number of systems, now not to point out single-person workstation DBMS products akin to Microsoft entry, Paradox, and FileMaker. Who selected to set up every these DBMSs and why?

regrettably, regularly the reply is that not tons notion and planning went into the determination-making procedure. from time to time the decision to buy and install a new DBMS is pushed through a commerce want or a brand new software. here's within your means in case your corporation has no DBMS and ought to purchase one for the primary time. here's rarely the case, even though. even with whether a DBMS exists on-site, a new DBMS is often considered as a requirement for a brand new application. once in a while a new DBMS product is bought and installed without first inspecting if the software may live correctly applied the spend of an present DBMS. Or, more seemingly, the DBAs recognize the application will moreover live applied the usage of an current DBMS however lack the organizational vigour or support to reject a new DBMS concept.

There are different factors for the being of numerous DBMS systems in a lone company. in every probability the enterprise bought a industrial off-the-shelf software package that does not rush on any of the existing DBMS systems. every now and then the preference to buy a brand new DBMS is pushed by means of the exigency to pilot the latest and highest character technology. for example, many mainframe stores relocating from a hierarchic (IMS) or CODASYL (IDMS) database model to the relational mannequin deployed DB2, leading to an further DBMS to gain learning of and help. Then, when client/server computing grew to live commonplace, extra DBMSs were implemented on UNIX, Linux, and home windows servers.

as soon as a DBMS is allocate in, removing can live tricky on account of incompatibilities among the diverse DBMSs and the exigency of changing application code. furthermore, when a brand new DBMS is installed, feeble applications and databases are always now not migrated to it. The feeble DBMS remains and should proceed to live supported. This complicates the DBA’s job.

So what should noiseless live executed? smartly, the DBA neighborhood should noiseless live empowered to construct the DBMS selections for the corporation. No enterprise unit may noiseless live allowed to buy a DBMS without the leave of the DBA community. here's a tricky provision to implement and even more intricate to implement. company politics often labor towards the DBA neighborhood since it generally possesses less organizational power than other commerce executives.

settling on a DBMS

The DBA community may noiseless set a policy involving the DBMS items to live supported in the corporation. every time feasible, the coverage may noiseless lower the variety of diverse DBMS products. For a shop with distinctive operating techniques and distinctive styles of hardware, select a default DBMS for the platform. dispirit divergence from the default except a compelling commerce case exists—a company case that passes the technical inspection of the DBA group.

most of the significant DBMS items fill identical features, and if the characteristic or performance does not exist today, it likely will within 18 to 24 months. So, pastime caution earlier than deciding to choose a DBMS based mostly completely on its talent to befriend a particular characteristic.

When picking a DBMS, it is sensible to choose a product from a tier-1 seller as listed in desk 2.1. Tier 1 represents the greatest providers having essentially the most closely applied and supported items available on the market. You can not travel incorrect with DB2 or Oracle. each are time-honored and support pretty much any category of database. a different essential player is Microsoft SQL Server, but simplest for windows systems. DB2 and Oracle rush on multiple systems starting from mainframe to UNIX, as well as windows and even handheld gadgets. deciding on a DBMS aside from these three may noiseless live completed simplest beneath selected instances.

desk 2.1. Tier-1 DBMS companies

DBMS dealer

DBMS Product

IBM company

DB2

New Orchard street

Armonk, new york 10504

mobile: (914) 499-1900

Oracle company

Oracle

500 Oracle Parkway

Redwood Shores, CA 94065

mobile: (650) 506-7000

Microsoft organisation

SQL Server

One Microsoft method

Redmond, WA 98052

cell: (425) 882-8080

After the massive three approach MySQL, Sybase, Teradata, and Informix. desk 2.2 lists these tier-2 DBMS companies. every of those offerings are satisfactory DBMS products, however their installed basis is smaller, their products are engineered and marketed for niche purposes, or the agencies are smaller with fewer components than the huge Three (IBM, Oracle, and Microsoft), so there is some casual in settling on a DBMS from tier 2 as an alternative of tier 1. although, there may live solid motives for deploying a tier-2 answer, such as the tall efficiency offered through Informix or the information warehousing and analytics capabilities of Teradata.

table 2.2. Tier-2 DBMS vendors

DBMS dealer

DBMS Product

IBM organization

Informix Dynamic Server

New Orchard road

Armonk, ny 10504

cell: (914) 499-1900

Sybase Inc. (an SAP company)

Adaptive Server commercial enterprise

6475 Christie Avenue

Emeryville, CA 94608

mobilephone: (510) 922-3500

Teradata company

Teradata

ten thousand Innovation force

Dayton, OH 45342

mobilephone: (937) 242-4030

MySQL (a subsidiary of Oracle organization)

MySQL

cellphone: (208) 338-8100

Of path, there are different DBMS products in the marketplace, a lot of which might live first-class products and beneficial of consideration for specialty processing, certain predefined wants, and niche roles. if your company is closely into the open-supply software stream, PostgreSQL, EnterpriseDB, or MySQL can live manageable alternate options. If an expostulate DBMS is faultfinding for a particular project, you may confidence ObjectDesign or Versant. And there are lots of NoSQL DBMS choices purchasable, too, akin to Hadoop, Cassandra, and MongoDB.1

however, for the bulk of your information administration wants, a DBMS from a tier-1, or possibly tier-2, DBMS seller will carry ample performance with minimal possibility. A myriad of DBMS products can live found, each with sure aspects that construct them precious of consideration on a case-by-case foundation. picking out any of the decrease-tier candidates—even such foremost names as utility AG’s Adabas and Actian’s Ingres—contains incurring further risk. parley with Appendix B for a listing of DBMS companies.

I attain not exigency it to sound as if the preference of a DBMS is a no brainer. you will want a strategy and a procedure for deciding upon the arrogate DBMS to your selected circumstance. When determining a DBMS, live certain to accept as accurate with each of those elements:

  • operating device guide. Does the DBMS support the operating methods in spend at your corporation, together with the versions that you're at present using and procedure on the usage of?
  • type of firm. fill in intellect the corporate philosophy when you opt for a DBMS. Some groups are very conservative and want to preserve a pleasant rein on their environments; these groups tend to gravitate toward traditional mainframe environments. government operations, fiscal associations, and assurance and health agencies usually are usually conservative. more-liberal companies are sometimes inclined to accept as accurate with option architectures. It is not extraordinary for manufacturing agencies, dot-coms, and universities to live less conservative. finally, some businesses just don't fill faith home windows as a mission-vital environment and enjoy to construct spend of UNIX; this guidelines out some database companies (Microsoft SQL Server, in particular).
  • Benchmarks. What efficiency benchmarks are available from the DBMS supplier and other clients of the DBMS? The Transaction Processing efficiency Council (TPC) publishes professional database performance benchmarks that can moreover live used as a suggestion for the basic customary efficiency of many different types of database processing. (consult with the sidebar “The Transaction Processing performance Council” for more particulars.) In general, efficiency benchmarks may moreover live efficacious as a broad indicator of database performance however may noiseless not live the best determinant when choosing a DBMS. many of the TPC benchmarks are rush in opposition t database implementations that are not representative of most creation database systems and hence don't appear to live indicative of the exact performance of a selected DBMS. moreover, benchmarks are at every times up-to-date to parade new and superior performance measurements for each of the predominant DBMS items, rendering the benchmark “winners” out of date very rapidly.
  • Scalability. Does the DBMS pilot the variety of clients and database sizes you procedure to allocate into effect? How are gigantic databases constructed, supported, and maintained—effectively or with lots of pain? Are there unbiased users who can ascertain the DBMS seller’s scalability claims?
  • Availability of supporting software tools. Are the assisting tools you require purchasable for the DBMS? These gadgets might moreover encompass question and analysis tools, records warehousing befriend equipment, database administration tools, backup and recuperation tools, efficiency-monitoring tools, potential-planning tools, database utilities, and aid for a number of programming languages.
  • The Transaction Processing efficiency Council is an independent, not-for-earnings firm that manages and administers performance benchmark tests. Its mission is to define transaction processing and database benchmarks to give the trade with goal, verifiable efficiency information. TPC benchmarks measure and account laptop capabilities and operations.

    The definition of transaction espoused with the aid of the TPC is a commerce one. a customary TPC transaction comprises the database updates for things corresponding to stock manage (goods), airline reservations (capabilities), and banking (money).

    The benchmarks produced by using the TPC measure efficiency when it comes to what number of transactions a given system and database can achieve per unit of time, for example, number of transactions per 2nd. The TPC defines three benchmarks:

  • TPC-C, for deliberate construction workload in a transaction ambiance
  • TPC-H, a decision support benchmark inclusive of a set of company-oriented ad hoc queries and concurrent facts modifications
  • TPC-E, an updated OLTP workload (based on monetary transaction processing)
  • additional information and in-depth definitions of these benchmarks will moreover live create on the TPC internet site at www.tpc.org (see motif 2.1).

  • Technicians. Is there a satisfactory supply of professional database gurus for the DBMS? conform with your needs in terms of DBAs, technical assist personnel (equipment programmers and directors, operations analysts, and many others.), and utility programmers.
  • can freight of possession. what's the entire can freight of possession of the DBMS? DBMS carriers can freight wildly various expenses for their know-how. complete cost of ownership may noiseless live calculated as a combination of the license cost of the DBMS; the license freight of any required supporting utility; the cost of database experts to program, assist, and administer the DBMS; and the freight of the computing substances required to operate the DBMS.
  • release time table. How regularly does the DBMS seller liberate a new version? Some vendors fill rapid unencumber cycles, with new releases popping out every 12 to 18 months. This can live first rate or dangerous, reckoning on your approach. in case you covet slicing-edge aspects, a quick liberate cycle is respectable. despite the fact, if your shop is greater conservative, a DBMS that adjustments generally can live problematic to aid. A swift unencumber cycle will trigger conservative businesses either to upgrade more frequently than they would enjoy or to reside with out of date DBMS application this is not going to fill the identical degree of support as the newest releases.
  • Reference purchasers. Will the DBMS vendor deliver present user references? can you determine other users for your personal who could give greater impartial solutions? talk with present clients to elicit considerations and concerns you may moreover fill disregarded. How is assist? Does the supplier respond neatly to issues? attain things frequently labor as advertised? Are there loads of worm fixes that must live applied at every times? what is the fine of latest releases? These questions may moreover live answered most efficacious by using the folks within the trenches.
  • When determining a DBMS, live certain to remove into account the complexity of the items. DBMS utility is terribly tangled and is getting extra advanced with every new release. performance that was once supported most efficacious with add-on application or independent programs is more and more being brought as elements of the DBMS, as shown in determine 2.2. you're going to exigency to procedure for and aid every of the points of the DBMS. even though there is no existing requirement for certain facets, when you implement the DBMS the programmers and developers will find a rationale to spend just about the comfort the dealer threw into it. it's improved to devise and live organized than to enable facets to live used with out a procedure for supporting them.

    Figure 2.2

    determine 2.2. Convergence of features and performance in DBMS utility

    DBMS Architectures

    The assisting structure for the DBMS environment is awfully faultfinding to the success of the database functions. One wrong option or poorly implemented component of the overall structure may cause poverty-stricken efficiency, downtime, or unstable applications.

    When mainframes dominated enterprise computing, DBMS architecture changed into a simpler issue. every thing ran on the mainframe, and that was that. besides the fact that children, these days the IT infrastructure is disbursed and heterogeneous. The basic structure—even for a mainframe DBMS—will probably include diverse structures and interoperating device utility. A team consisting of commerce and IT specialists, rather than a lone grownup or community, should noiseless construct the closing structure determination. enterprise consultants should noiseless consist of representatives from numerous departments, in addition to from accounting and criminal for software contract considerations. Database administration representatives (DA, DBA, and SA), as well as members of the networking community, operating device specialists, operations manage personnel, programming experts, and any other fascinated parties, may noiseless live blanketed during this crew.

    in addition, live sure that the DBMS you choose is arrogate for the nature and benevolent of processing you pose to allocate in force. 4 levels of DBMS structure are available: commercial enterprise, departmental, very own, and cellular.

    An commercial enterprise DBMS is designed for scalability and unreasonable performance. An commercial enterprise DBMS ought to live capable of supporting very giant databases, a huge number of concurrent users, and numerous kinds of purposes. The commercial enterprise DBMS runs on a large-scale machine, typically a mainframe or a high-conclusion server operating UNIX, Linux, or windows Server. furthermore, an commerce DBMS offers every the “bells and whistles” obtainable from the DBMS dealer. Multiprocessor assist, befriend for parallel queries, and different superior DBMS points are core accessories of an commerce DBMS.

    A departmental DBMS, on occasion referred to as a workgroup DBMS, serves the core floor. The departmental DBMS helps petite to medium-dimension workgroups within a firm; typically, it runs on a UNIX, Linux, or windows server. The dividing line between a departmental database server and an enterprise database server is reasonably gray. Hardware and utility enhancements can allow a departmental DBMS to tackle tasks that previously can live performed simplest by using an enterprise DBMS. The regularly falling freight of departmental hardware and software components further contributes to decreasing the total can freight of operation and enabling a workgroup environment to scale up to serve the business.

    a personal DBMS is designed for a lone person, typically on a low- to medium-powered pc platform. Microsoft entry, SQLite, and FileMaker2 are examples of personal database software. Of route, the significant DBMS carriers moreover market very own types of their larger-powered solutions, such as Oracle Database personal version and DB2 own edition. from time to time the most economical of a personal DBMS effects in a erroneous attempt to opt for a personal DBMS for a departmental or commerce solution. however, don't live lured by passage of the reasonable. a private DBMS product is arrogate simplest for very small-scale tasks and will never live deployed for multiuser purposes.

    at last, the cellular DBMS is a really expert edition of a departmental or commerce DBMS. it's designed for remote clients who are not continually related to the community. The cell DBMS allows for aboriginal database access and amendment on a computer or handheld gadget. in addition, the mobile DBMS offers a mechanism for synchronizing remote database alterations to a centralized enterprise or departmental database server.

    A DBMS designed for one kind of processing may well live ill model for different uses. for example, a private DBMS is not designed for numerous clients, and an commerce DBMS is often too advanced for lone users. live certain to account the transformations among enterprise, departmental, own, and cellular DBMS utility, and choose the arrogate DBMS to your particular facts-processing needs. You may wish to opt for distinctive DBMS varieties—that is, a DBMS for each stage—with usage decided through the wants of each and every evolution challenge.

    in case your organization requires DBMS solutions at diverse tiers, prefer the option of a gaggle of DBMS solutions from the equal dealer every time possible. Doing so will lower changes in access, development, and administration. for example, prefer Oracle Database very own version to your single-consumer DBMS needs if your organization uses Oracle because the commerce DBMS of alternative.

    DBMS Clustering

    Clustering is using diverse “independent” computing systems working collectively as a single, highly purchasable device. a modern DBMS offers clustering support to extend availability and scalability. both predominant architectures for clustering are shared-disk and shared-nothing. These names attain a very pleasant job of describing the character of the architecture—as a minimum at a unreasonable stage.

    Shared-nothing clustering is depicted in motif 2.three. In a shared-nothing architecture, every device has its own inner most components (memory, disks, and many others.). The clustered processors speak via passing messages through a network that interconnects the computer systems. in addition, requests from clients are immediately routed to the gadget that owns the resource. just one of the clustered programs can “own” and access a specific aid at a time. in the adventure a failure occurs, aid ownership will moreover live dynamically transferred to a further gadget within the cluster. The leading learning of shared-nothing clustering is scalability. In concept, a shared-nothing multiprocessor can scale up to thousands of processors as a result of they don't intrude with one another—nothing is shared.

    In a shared-disk atmosphere, every of the related systems participate the identical disk gadgets, as proven in determine 2.4. every processor nonetheless has its own inner most memory, however the entire processors can without delay handle every of the disks. customarily, shared-disk clustering doesn't scale as smartly for smaller machines as shared-nothing clustering. Shared-disk clustering is improved arrogate to giant-business processing in a mainframe environment. Mainframes—very giant processors—are capable of processing tremendous volumes of labor. first rate benefits may moreover live received with best a number of clustered mainframes, while many computing device and midrange processors would exigency to live clustered to obtain identical merits.

    Shared-disk clustering is constantly preferable for applications and services requiring best modest shared access to information and for applications or workloads that are very tricky to partition. functions with massive records update requirements are doubtless greater applied as shared-nothing. desk 2.3 compares the capabilities of shared-disk and shared-nothing architectures.

    desk 2.3. comparison of Shared-Disk and Shared-Nothing Architectures

    Shared-Disk

    Shared-Nothing

    quick adaptability to changing workloads

    Can exploit more straightforward, more cost-effective hardware

    excessive availability

    very nearly unlimited scalability

    Performs optimum in a massive read atmosphere

    Works smartly in a high-quantity, examine-write ambiance

    statistics don't exigency to live partitioned

    records is partitioned throughout the cluster

    The foremost DBMS providers provide assist for several types of clustering with several capabilities and necessities. as an example, DB2 for z/OS offers shared-disk clustering with its information Sharing and Parallel Sysplex capabilities; DB2 on non-mainframe systems makes spend of shared-nothing clustering. Oracle’s precise utility Clusters give shared-disk clustering.

    for most users, the simple capitalize of clustering is the more desirable availability that accrues by passage of combining processors. In some situations, clustering can assist an enterprise to obtain 5-nines (ninety nine.999 p.c) availability. additionally, clustering can moreover live used for load balancing and failover.

    DBMS Proliferation

    generally of thumb, create a policy (or at the least some primary instructions) that fill to live adopted earlier than a brand new DBMS can moreover live brought into the firm. Failure to achieve this can cause a proliferation of several DBMS items that will live tangled to assist. it can moreover trigger confusion regarding which DBMS to construct spend of for which edifice effort.

    As mentioned previous, there is a plethora of DBMS providers, every touting its advantages. As a DBA, you might live bombarded with advertising and marketing and income efforts that attempt to prevail you that you exigency an extra DBMS. are attempting to puss up to until a very compelling cause is given and a brief-term return on investment (ROI) will moreover live established. Even when confronted with legitimate factors and decent ROI, live certain to double-verify the arguments and ROI calculations. occasionally the motives several are out of date and the ROI figures attain not remove every exiguous thing into consideration—such as the further can freight of administration.

    bear in mind, each DBMS requires database administration aid. moreover, each and every DBMS uses distinctive learn how to achieve identical tasks. the less DBMS items allocate in, the less advanced database administration turns into, and the enhanced your options spin into of proposing helpful records management substances on your corporation.

    Hardware issues

    When organising a database atmosphere for software construction, deciding upon the DBMS is barely a fraction of the equation. The hardware and operating device on which the DBMS will rush will vastly impact the reliability, availability, and scalability (RAS) of the database atmosphere. for example, a mainframe platform reminiscent of an IBM zEC12 operating z/OS will doubtless provide larger RAS than a midrange IBM xSeries machine running AIX, which in flip will probably exceed a Dell server operating windows. That is not to pretense every thing should noiseless rush on a mainframe; other considerations such as charge, adventure, manageability, and the needs of the applications to live developed must live considered. The basis line is that you ought to construct sure to ingredient hardware platform and operating paraphernalia constraints into the DBMS alternative criteria.

    Cloud Database programs

    Cloud computing (see the sidebar) is increasing in utilization, in particular at petite to medium-size corporations. A cloud implementation will moreover live extra economical than constructing an entire aboriginal computing infrastructure that requires administration and support.

    A cloud database paraphernalia can provide DBMS functions over the information superhighway. The trade-off practically comes down to trusting a cloud company to store and manage your statistics in return for minimizing database administration and upkeep can freight and effort. the spend of cloud database programs can permit groups, notably smaller ones devoid of the resources to allocate money into an commercial enterprise computing infrastructure, to focus on their enterprise instead of their computing atmosphere.

    by consolidating records sources in the cloud, it is feasible to extend collaboration amongst partners, branch offices, remote employees, and cell devices, because the statistics becomes accessible as a service. There isn't any should set up, deploy, patch, or manipulate the DBMS software since the cloud company manages and cares for these administrative tasks. Of route, the draw back is that your information is now saved and managed with the aid of an external agent—the cloud company. yet another inherent casual of cloud computing is the casual of nefarious agents posing as respectable shoppers.

    An illustration of a cloud database platform is Microsoft SQL Azure. it's constructed on SQL Server applied sciences and is a component of the windows Azure platform.


    Hardware these days: IBM Server snapshot page 2 | killexams.com actual Questions and Pass4sure dumps

    The Mainframe — Alive and smartly

    IBM lately released what it is describing as its most refined computing device ever — the IBM system z9 mainframe. based on Colette Martin, director of market management for the IBM paraphernalia z9, it is the influence of a three-yr, $1.2 billion construction endeavor involving 5,000 IBM engineers, utility builders, and safety consultants from around the world.

    "The z9 more than doubles the capabilities of its predecessor, the z990. This new mainframe is able to performing 1 billion transactions a day, provides on/off capacity on demand, scales as much as fifty four-manner, and has superior aid virtualization and workload management capabilities." — Colette Martin, director of market management for the IBM device z9

    "The z9 more than doubles the capabilities of its predecessor, the z990," says Martin. "This new mainframe is in a position to performing 1 billion transactions a day, offers on/off capability on demand, scales up to 54-manner, and has superior aid virtualization and workload administration capabilities."

    security changed into obviously a massive focus within the design. as a result, the z9 comes with an fabulous array of excessive-conclusion security facets. master encryption keys, as an example, are saved in a tamper-resistant package that zeroes out statistics to stay away from an intruder from fleshly capturing it. Centralized key administration within the z/OS makes it possible for constant security guidelines to live set across server, statistics, and the network in line with commerce goals. other security facets at ease data being transported to alternate locations, pace up online transactions while holding them absolutely cozy, supply easy-to-install web protection for mainframe workloads, and present network-based mostly security along side Cisco.

    x-Rated Servers

    at the antithetical conclude of the dimensions, IBM has been investing plenty of R&D greenbacks in xSeries and blade servers. ultimate week's Hardware today, "Dueling Blades," appeared on the newest BladeCenter offerings.

    On the xSeries entrance, the company currently launched the eServer X3 architecture. Tim Dougherty, director of IBM eServer BladeCenter advertising and marketing, says this represents the conclude result of a 3- yr, $100 million edifice endeavor to carry mainframe-inspired capabilities and excessive-conclusion expertise to sixty four-bit Intel Xeon-primarily based servers. in response to his numbers, this new architecture offers as much as forty six percent larger 4-way efficiency compared to IBM's feeble technology of Xeon-primarily based techniques. It moreover permits the simultaneous operating of 32-bit and sixty four-bit functions and the fleet processing of large quantities of records. X3-based techniques can rush sixty four-bit x86 operating system application from Microsoft, purple Hat, and Novell.

    "X3 is optimized for sophisticated server consolidation and enterprise software application, and it uses IBM Virtualization Engine technology to extend virtualization capabilities," says Dougherty.

    IBM has moreover gotten into the dual-core video game. The xSeries 366 is the primary twin-core-competent Intel-based mostly server from roomy Blue. in accordance with the X3 architecture, the x366 is located essentially for midtier commerce common sense applications (like SAP, Oracle, and Siebel) the spend of sixty four-bit reminiscence addressing.

    For users with always-on environments, IBM has launched the xSeries 460. The entry-degree 4-method desktop scales as much as 32-method, processing in an eight-chassis configuration. Upgrading from a smaller to larger x460 server, says Dougherty, has been made convenient.

    The x460 is the 2nd server in keeping with the X3 architecture, and it's 60 percent quicker than its predecessor. This Xeon MP paraphernalia is putative for spend in particular for database serving, ERP, CRM, server consolidation, and upright market customized functions. it is priced from $18,129, besides the fact that children a regular eight-way model fees greater than $seventy two,182.

    there is moreover the newly released x260, a excessive-performance 7U server geared toward storage-intensive applications (additionally in accordance with the X3 architecture). The twin-core-competent x260 depends on sixty four-bit Intel Xeon MP processors and is purchasable in a tower configuration. The entry charge of the xSeries 260 is $four,599.

    IBM has made a yoke of strategic moves that can moreover extra consolidate its grip at the excellent of the server charts. The commerce is providing fiscal incentives of as much as $50,000 to partners setting up software applications and tools for its iSeries platform.

    "The x260 can rush on ordinary one hundred ten volt vigour in a fully redundant configuration, making it proper for workplace environments," says Dougherty. "It has expandable processing vigor, reminiscence, and storage talent that's regularly required for electronic mail and database serving purposes."

    The final main release in the IBM xSeries portfolio is Cluster 1350, the first cluster to incorporate AMD twin-core technology in a blade-based compute node. It moreover uses Intel- and vigor-primarily based nodes in homogeneous or combined node preparations. IBM is evidently planning to construct spend of this product to construct stronger its position on the head of the blade market.

    "In routine cluster configurations, the Cluster 1350 supports extra compute nodes than any of its rivals and double that of HP," says Dougherty. It presents the broadest latitude of node and swap choices in a clustered reply from a roomy vendor."

    Strategic strikes

    IBM has made several strategic strikes that may additionally further consolidate its grip at the exact of the server charts. The company is providing economic incentives of as much as $50,000 to companions establishing utility purposes and tools for its iSeries platform.

    massive Blue hopes to entice greater than 2,500 utility developers with: 1) an utility Innovation program that provides befriend (this includes a no-charge digital loaner program, reply manufacturing unit tips, and training) at no cost to ISVs to support support their iSeries on-demand capabilities; 2) a tools Innovation software, which is a fraction of its iSeries builders Roadmap that offers ISVs and valued clientele further flexibility with their utility decisions in Java, RPG, COBOL, and .net integration on i5/OS, Linux, AIX and home windows; and three) an iSeries Innovation application to boost access to IBM technical skill in Rochester to labor collaboratively with ISVs and different partners to help greater tightly built-in items for banking, wholesale, retail, manufacturing, and other industries. thus far, these courses fill produced very nearly 180 new purposes and about 160 tools for the iSeries platform.

    retaining with the collaboration theme, a different core strategic factor is IBM's techniques Agenda.

    "companies that had been once isolated through disparate technologies increasingly deserve to collaborate so as to create extra on demand operations," says Martin. "This requires that each firm's computing techniques live linked extra intelligently via collaborative processing."

    methods Agenda comprises using technologies enjoy virtualization, open requirements, and encryption to participate information across agencies. no matter if or not it's designing cars and plane or discovering new medicines, collaboration between businesses and associations has begun to blur the traditional traces of suggestions know-how. IBM's goal is to boost how you can allow such businesses to labor seamlessly on commerce functions that transcend corporate boundaries.

    "chosen core design ideas in the methods Agenda will accelerate up the circulate toward collaborative processing while continuing to provide the maximum tiers of transaction processing," says Martin. "this can assist their valued clientele to prolong virtualization every the passage through the infrastructure to assist outline and find relationships between clients, resources, applications, and networks — a key ingredient for collaborative processing."


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    Data Science Curriculum on edX | killexams.com actual questions and Pass4sure dumps

    Data Scientists are in tall demand - and now there's another passage to merit relevant accreditation via the Microsoft-designed Data Science Curriculum offered on the edX platform.

    As this promo video explains, Microsoft has worked with both university and industry partners to allocate together a "subway map" that guides students through the process of gaining the practical technical skills that employers are looking for:

    According to Microsoft: 

    Our employer-endorsed curriculum gives graduates an handicap over other job seekers by pairing university-caliber hands on labs with highly rated online courses befriend you develop the skills that employers are asking for.

    In [its] courses, you will apply proven data science methodologies and principles while learning to spend a scope of common data science technologies to explore, transform, model, and visualize data, and create the next generation of quick-witted solution.

    To complete the curriculum students are expected to complete and gain certificates from nine online courses, eight from Microsoft and one  from the Columbia University, plus a final project that puts together every the skills you've acquired from them:

    datascicurriculum 

    Specifically students will

  • Use Microsoft outstrip to explore data
  • Use Transact-SQL to query a relational database
  • Create data models and visualize data using outstrip or Power BI
  • Apply statistical methods to data
  • Use R or Python to explore and transform data
  • Follow a data science methodology
  • Create and validate machine learning models with Azure Machine Learning
  • Write R or Python code to build machine learning models
  • Apply data science techniques to common scenarios
  • Implement a machine learning solution for a given data problem
  • Some of  the courses are already available, including DAT204x: Introduction to R for Data Science and PDAT209x Programming in R for Data Science, courses they fill rrecently covered. The starting point DAT101x Data Science Orientation is moreover available. This is expected to remove 6 weeks if you dedicate just 2-4 hours per week to it, but as every the courses are self-paced you can choose how quickly to complete them and you can moreover remove more than one concurrently. 

    excelorbi

    Two of the courses in the curriculum were launched this week. They are Analyzing and Visualizing Data with Excel  and Analyzing and Visualizing Data with Power BI and students are expected to construct a preference between them. Both these course fill a  workload of 2-4 hours per week over 6 weeks. 

    If you want to merit verified certificates, for which you'll moreover exigency a webcam, the Microsoft courses, including the final project cost $49.

    datscicolumb1

    The Columbia course, Statistical Thinking for Data Science and Analytics costs $99 for a verified certificate. It  has an estimated workload of 7-10 hours per week over 5 weeks and comes in the middle of curriculum - before students saunter on to R and beyond. This course is moreover the starting point for a 3-course XSeries,  Data Science and Analytics in Context taught by the identical team from  Data Science and Analytics in Context XSeries and is described as:

    perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming.

    Rather than being targeted at those who want a technical approach, which is the train of the Microsoft curriculum, this XSeries has been designed for organization leaders, commerce managers, health supervision professionals. It sets out to:

    steep learners in the fundamentals of statistics, machine learning and algorithms. It will moreover insert emerging technologies such as the Internet of Things, or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio and video. Concrete examples provided throughout the progression will ensure that learners fully grasp and master key concepts.

    There are of course many other options for getting into data science which we've covered on I-Programmer, including the newly announced Master's degree in Data Science on the Coursera platform and Udacity's Google-originated Machine Learning Engineer. This one seems a pleasant addition to the scope of learning resources.

     datascicurriculumsq

    Databricks Runtime for Machine Learning15/04/2019

    Databricks Runtime for Machine Learning is now generally available, offering aboriginal integration with Popular ML/DL frameworks, such as scikit-learn, XGBoost, TensorFlow, PyTorch, Keras, and Horovod.

    Knuth Prize 2019 Awarded For Contributions To Complexity Theory07/04/2019

    Israeli mathematician and computer scientist, Avi Wigderson, who in addition to much original labor in computation and complexity theory, has trained many generations of hypothetical computer scientists [ ... ]

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    Database Administration: Creating the Database Environment | killexams.com actual questions and Pass4sure dumps

    Establishing a usable database environment requires a distinguished deal of skill, knowledge, and consideration. This chapter will outline the principles involved in establishing a usable database environment.

    This chapter is from the bespeak 

    One of the primary tasks associated with the job of DBA is the process of choosing and installing a DBMS. Unfortunately, many commerce executives and IT professionals without database management background assume that once the DBMS is installed, the bulk of the labor is done. The verisimilitude is, choosing and installing the DBMS is hardly the most difficult fraction of a DBA’s job. Establishing a usable database environment requires a distinguished deal of skill, knowledge, and consideration. This chapter will outline the principles involved in establishing a usable database environment.

    The process of choosing a suitable DBMS for enterprise database management is not as difficult as it used to be. The number of major DBMS vendors has dwindled due to industry consolidation and domination of the sector by a few very large players.

    Yet, large and medium-size organizations typically rush multiple DBMS products, from as few as two to as many as ten. For example, it is not uncommon for a large company to spend IMS or IDMS and DB2 on the mainframe, Oracle and MySQL on several different UNIX servers, Microsoft SQL Server on Windows servers, as well as pockets of other DBMS products such as Sybase, Ingres, Adabas, and PostgreSQL on various platforms, not to mention single-user PC DBMS products such as Microsoft Access, Paradox, and FileMaker. Who chose to install every these DBMSs and why?

    Unfortunately, often the reply is that not much thought and planning went into the decision-making process. Sometimes the decision to purchase and install a new DBMS is driven by a commerce exigency or a new application. This is reasonable if your organization has no DBMS and must purchase one for the first time. This is rarely the case, though. Regardless of whether a DBMS exists on-site, a new DBMS is often viewed as a requirement for a new application. Sometimes a new DBMS product is purchased and installed without first examining if the application could live successfully implemented using an existing DBMS. Or, more likely, the DBAs know the application can live implemented using an existing DBMS but lack the organizational power or support to reject a new DBMS proposal.

    There are other reasons for the being of multiple DBMS platforms in a lone organization. Perhaps the company purchased a commercial off-the-shelf application package that does not rush on any of the current DBMS platforms. Sometimes the decision to buy a new DBMS is driven by the covet to support the latest and greatest technology. For example, many mainframe shops moving from a hierarchic (IMS) or CODASYL (IDMS) database model to the relational model deployed DB2, resulting in an additional DBMS to learn and support. Then, when client/server computing became popular, additional DBMSs were implemented on UNIX, Linux, and Windows servers.

    Once a DBMS is installed, removal can live difficult because of incompatibilities among the different DBMSs and the necessity of converting application code. Furthermore, when a new DBMS is installed, feeble applications and databases are usually not migrated to it. The feeble DBMS remains and must continue to live supported. This complicates the DBA’s job.

    So what should live done? Well, the DBA group should live empowered to construct the DBMS decisions for the organization. No commerce unit should live allowed to purchase a DBMS without the leave of the DBA group. This is a difficult provision to implement and even more difficult to enforce. commerce politics often labor against the DBA group because it frequently possesses less organizational power than other commerce executives.

    Choosing a DBMS

    The DBA group should set a policy regarding the DBMS products to live supported within the organization. Whenever possible, the policy should minimize the number of different DBMS products. For a shop with multiple operating systems and multiple types of hardware, choose a default DBMS for the platform. dispirit divergence from the default unless a compelling commerce case exists—a commerce case that passes the technical inspection of the DBA group.

    Most of the major DBMS products fill similar features, and if the feature or functionality does not exist today, it probably will within 18 to 24 months. So, exercise caution before deciding to choose a DBMS based solely on its talent to support a specific feature.

    When choosing a DBMS, it is sage to select a product from a tier-1 vendor as listed in Table 2.1. Tier 1 represents the largest vendors having the most heavily implemented and supported products on the market. You cannot travel wrong with DB2 or Oracle. Both are Popular and support just about any kind of database. Another major player is Microsoft SQL Server, but only for Windows platforms. DB2 and Oracle rush on multiple platforms ranging from mainframe to UNIX, as well as Windows and even handheld devices. Choosing a DBMS other than these three should live done only under specific circumstances.

    Table 2.1. Tier-1 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation

    DB2

    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Oracle Corporation

    Oracle

    500 Oracle Parkway

    Redwood Shores, CA 94065

    Phone: (650) 506-7000

    Microsoft Corporation

    SQL Server

    One Microsoft Way

    Redmond, WA 98052

    Phone: (425) 882-8080

    After the roomy three approach MySQL, Sybase, Teradata, and Informix. Table 2.2 lists these tier-2 DBMS vendors. every of these offerings are character DBMS products, but their installed basis is smaller, their products are engineered and marketed for niche purposes, or the companies are smaller with fewer resources than the roomy Three (IBM, Oracle, and Microsoft), so there is some risk in choosing a DBMS from tier 2 instead of tier 1. However, there may live solid reasons for deploying a tier-2 solution, such as the tall performance offered by Informix or the data warehousing and analytics capabilities of Teradata.

    Table 2.2. Tier-2 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation

    Informix Dynamic Server

    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Sybase Inc. (an SAP Company)

    Adaptive Server Enterprise

    6475 Christie Avenue

    Emeryville, CA 94608

    Phone: (510) 922-3500

    Teradata Corporation

    Teradata

    10000 Innovation Drive

    Dayton, OH 45342

    Phone: (937) 242-4030

    MySQL (a subsidiary of Oracle Corporation)

    MySQL

    Phone: (208) 338-8100

    Of course, there are other DBMS products on the market, many of which are fine products and worthy of consideration for specialty processing, certain predefined needs, and niche roles. If your company is heavily into the open-source software movement, PostgreSQL, EnterpriseDB, or MySQL might live viable options. If an expostulate DBMS is significant for a specific project, you might account ObjectDesign or Versant. And there are a variety of NoSQL DBMS offerings available, too, such as Hadoop, Cassandra, and MongoDB.1

    However, for the bulk of your data management needs, a DBMS from a tier-1, or perhaps tier-2, DBMS vendor will deliver sufficient functionality with minimal risk. A myriad of DBMS products are available, each with certain features that construct them worthy of consideration on a case-by-case basis. Choosing any of the lower-tier candidates—even such major names as Software AG’s Adabas and Actian’s Ingres—involves incurring additional risk. advert to Appendix B for a list of DBMS vendors.

    I attain not want it to sound as if the selection of a DBMS is a no-brainer. You will exigency a strategy and a procedure for selecting the arrogate DBMS for your specific situation. When choosing a DBMS, live sure to account each of these factors:

  • Operating system support. Does the DBMS support the operating systems in spend at your organization, including the versions that you are currently using and procedure on using?
  • Type of organization. remove into consideration the corporate philosophy when you choose a DBMS. Some organizations are very conservative and enjoy to hold a taut rein on their environments; these organizations tend to gravitate toward traditional mainframe environments. Government operations, financial institutions, and insurance and health companies usually tend to live conservative. More-liberal organizations are often willing to account alternative architectures. It is not uncommon for manufacturing companies, dot-coms, and universities to live less conservative. Finally, some companies just attain not confidence Windows as a mission-critical environment and prefer to spend UNIX; this rules out some database vendors (Microsoft SQL Server, in particular).
  • Benchmarks. What performance benchmarks are available from the DBMS vendor and other users of the DBMS? The Transaction Processing Performance Council (TPC) publishes official database performance benchmarks that can live used as a guideline for the basic overall performance of many different types of database processing. (Refer to the sidebar “The Transaction Processing Performance Council” for more details.) In general, performance benchmarks can live useful as a broad indicator of database performance but should not live the only determinant when selecting a DBMS. Many of the TPC benchmarks are rush against database implementations that are not representative of most production database systems and therefore are not indicative of the actual performance of a particular DBMS. In addition, benchmarks are constantly updated to point to new and improved performance measurements for each of the major DBMS products, rendering the benchmark “winners” obsolete very quickly.
  • Scalability. Does the DBMS support the number of users and database sizes you intend to implement? How are large databases built, supported, and maintained—easily or with a lot of pain? Are there independent users who can authenticate the DBMS vendor’s scalability claims?
  • Availability of supporting software tools. Are the supporting tools you require available for the DBMS? These items may include query and analysis tools, data warehousing support tools, database administration tools, backup and recovery tools, performance-monitoring tools, capacity-planning tools, database utilities, and support for various programming languages.
  • The Transaction Processing Performance Council is an independent, not-for-profit organization that manages and administers performance benchmark tests. Its mission is to define transaction processing and database benchmarks to provide the industry with objective, verifiable performance data. TPC benchmarks measure and evaluate computer functions and operations.

    The definition of transaction espoused by the TPC is a commerce one. A typical TPC transaction includes the database updates for things such as inventory control (goods), airline reservations (services), and banking (money).

    The benchmarks produced by the TPC measure performance in terms of how many transactions a given system and database can achieve per unit of time, for example, number of transactions per second. The TPC defines three benchmarks:

  • TPC-C, for planned production workload in a transaction environment
  • TPC-H, a decision support benchmark consisting of a suite of business-oriented ad hoc queries and concurrent data modifications
  • TPC-E, an updated OLTP workload (based on financial transaction processing)
  • Additional information and in-depth definitions of these benchmarks can live create at the TPC Web site at www.tpc.org (see motif 2.1).

  • Technicians. Is there a sufficient supply of skilled database professionals for the DBMS? account your needs in terms of DBAs, technical support personnel (system programmers and administrators, operations analysts, etc.), and application programmers.
  • Cost of ownership. What is the total cost of ownership of the DBMS? DBMS vendors freight wildly varying prices for their technology. Total cost of ownership should live calculated as a combination of the license cost of the DBMS; the license cost of any required supporting software; the cost of database professionals to program, support, and administer the DBMS; and the cost of the computing resources required to operate the DBMS.
  • Release schedule. How often does the DBMS vendor release a new version? Some vendors fill rapid release cycles, with new releases coming out every 12 to 18 months. This can live pleasant or bad, depending on your approach. If you want cutting-edge features, a rapid release cycle is good. However, if your shop is more conservative, a DBMS that changes frequently can live difficult to support. A rapid release cycle will cause conservative organizations either to upgrade more frequently than they would enjoy or to live with outdated DBMS software that is unlikely to fill the identical plane of support as the latest releases.
  • Reference customers. Will the DBMS vendor supply current user references? Can you find other users on your own who might provide more impartial answers? speak with current users to elicit issues and concerns you may fill overlooked. How is support? Does the vendor respond well to problems? attain things generally labor as advertised? Are there a lot of bug fixes that must live applied continuously? What is the character of new releases? These questions can live answered only by the folks in the trenches.
  • When choosing a DBMS, live sure to remove into account the complexity of the products. DBMS software is very tangled and is getting more tangled with each new release. Functionality that used to live supported only with add-on software or independent programs is increasingly being added as features of the DBMS, as shown in motif 2.2. You will exigency to procedure for and support every the features of the DBMS. Even if there is no current requirement for certain features, once you implement the DBMS the programmers and developers will find a judgement to spend just about anything the vendor threw into it. It is better to procedure and live prepared than to allow features to live used without a procedure for supporting them.

    Figure 2.2

    Figure 2.2. Convergence of features and functionality in DBMS software

    DBMS Architectures

    The supporting architecture for the DBMS environment is very faultfinding to the success of the database applications. One wrong preference or poorly implemented component of the overall architecture can cause poverty-stricken performance, downtime, or unstable applications.

    When mainframes dominated enterprise computing, DBMS architecture was a simpler concern. Everything ran on the mainframe, and that was that. However, today the IT infrastructure is distributed and heterogeneous. The overall architecture—even for a mainframe DBMS—will probably consist of multiple platforms and interoperating system software. A team consisting of commerce and IT experts, rather than a lone person or group, should construct the final architecture decision. commerce experts should include representatives from various departments, as well as from accounting and legal for software contract issues. Database administration representatives (DA, DBA, and SA), as well as members of the networking group, operating system experts, operations control personnel, programming experts, and any other interested parties, should live included in this team.

    Furthermore, live sure that the DBMS you select is arrogate for the nature and kind of processing you procedure to implement. Four levels of DBMS architecture are available: enterprise, departmental, personal, and mobile.

    An enterprise DBMS is designed for scalability and tall performance. An enterprise DBMS must live capable of supporting very large databases, a large number of concurrent users, and multiple types of applications. The enterprise DBMS runs on a large-scale machine, typically a mainframe or a high-end server running UNIX, Linux, or Windows Server. Furthermore, an enterprise DBMS offers every the “bells and whistles” available from the DBMS vendor. Multiprocessor support, support for parallel queries, and other advanced DBMS features are core components of an enterprise DBMS.

    A departmental DBMS, sometimes referred to as a workgroup DBMS, serves the middle ground. The departmental DBMS supports petite to medium-size workgroups within an organization; typically, it runs on a UNIX, Linux, or Windows server. The dividing line between a departmental database server and an enterprise database server is quite gray. Hardware and software upgrades can allow a departmental DBMS to tackle tasks that previously could live performed only by an enterprise DBMS. The steadily falling cost of departmental hardware and software components further contributes to lowering the total cost of operation and enabling a workgroup environment to scale up to serve the enterprise.

    A personal DBMS is designed for a lone user, typically on a low- to medium-powered PC platform. Microsoft Access, SQLite, and FileMaker2 are examples of personal database software. Of course, the major DBMS vendors moreover market personal versions of their higher-powered solutions, such as Oracle Database Personal Edition and DB2 Personal Edition. Sometimes the low cost of a personal DBMS results in a misguided attempt to choose a personal DBMS for a departmental or enterprise solution. However, attain not live lured by the low cost. A personal DBMS product is suitable only for very small-scale projects and should never live deployed for multiuser applications.

    Finally, the mobile DBMS is a specialized version of a departmental or enterprise DBMS. It is designed for remote users who are not usually connected to the network. The mobile DBMS enables local database access and modification on a laptop or handheld device. Furthermore, the mobile DBMS provides a mechanism for synchronizing remote database changes to a centralized enterprise or departmental database server.

    A DBMS designed for one kind of processing may live ill suited for other uses. For example, a personal DBMS is not designed for multiple users, and an enterprise DBMS is generally too tangled for lone users. live sure to understand the differences among enterprise, departmental, personal, and mobile DBMS software, and choose the arrogate DBMS for your specific data-processing needs. You may exigency to choose multiple DBMS types—that is, a DBMS for each level—with usage determined by the needs of each evolution project.

    If your organization requires DBMS solutions at different levels, favor the selection of a group of DBMS solutions from the identical vendor whenever possible. Doing so will minimize differences in access, development, and administration. For example, favor Oracle Database Personal Edition for your single-user DBMS needs if your organization uses Oracle as the enterprise DBMS of choice.

    DBMS Clustering

    Clustering is the spend of multiple “independent” computing systems working together as a single, highly available system. A modern DBMS offers clustering support to enhance availability and scalability. The two predominant architectures for clustering are shared-disk and shared-nothing. These names attain a pleasant job of describing the nature of the architecture—at least at a tall level.

    Shared-nothing clustering is depicted in motif 2.3. In a shared-nothing architecture, each system has its own private resources (memory, disks, etc.). The clustered processors communicate by passing messages through a network that interconnects the computers. In addition, requests from clients are automatically routed to the system that owns the resource. Only one of the clustered systems can “own” and access a particular resource at a time. In the event a failure occurs, resource ownership can live dynamically transferred to another system in the cluster. The main handicap of shared-nothing clustering is scalability. In theory, a shared-nothing multiprocessor can scale up to thousands of processors because they attain not interfere with one another—nothing is shared.

    In a shared-disk environment, every the connected systems participate the identical disk devices, as shown in motif 2.4. Each processor noiseless has its own private memory, but every the processors can directly address every the disks. Typically, shared-disk clustering does not scale as well for smaller machines as shared-nothing clustering. Shared-disk clustering is better suited to large-enterprise processing in a mainframe environment. Mainframes—very large processors—are capable of processing gigantic volumes of work. distinguished benefits can live obtained with only a few clustered mainframes, while many PC and midrange processors would exigency to live clustered to achieve similar benefits.

    Shared-disk clustering is usually preferable for applications and services requiring only modest shared access to data and for applications or workloads that are very difficult to partition. Applications with massive data update requirements are probably better implemented as shared-nothing. Table 2.3 compares the capabilities of shared-disk and shared-nothing architectures.

    Table 2.3. Comparison of Shared-Disk and Shared-Nothing Architectures

    Shared-Disk

    Shared-Nothing

    Quick adaptability to changing workloads

    Can exploit simpler, cheaper hardware

    High availability

    Almost unlimited scalability

    Performs best in a massive read environment

    Works well in a high-volume, read-write environment

    Data exigency not live partitioned

    Data is partitioned across the cluster

    The major DBMS vendors provide support for different types of clustering with different capabilities and requirements. For example, DB2 for z/OS provides shared-disk clustering with its Data Sharing and Parallel Sysplex capabilities; DB2 on non-mainframe platforms uses shared-nothing clustering. Oracle’s actual Application Clusters provide shared-disk clustering.

    For most users, the primary capitalize of clustering is the enhanced availability that accrues by combining processors. In some cases, clustering can befriend an enterprise to achieve five-nines (99.999 percent) availability. Additionally, clustering can live used for load balancing and failover.

    DBMS Proliferation

    As a rule of thumb, create a policy (or at least some simple guidelines) that must live followed before a new DBMS can live brought into the organization. Failure to attain so can cause a proliferation of different DBMS products that will live difficult to support. It can moreover cause confusion regarding which DBMS to spend for which evolution effort.

    As mentioned earlier, there is a plethora of DBMS vendors, each touting its benefits. As a DBA, you will live bombarded with marketing and sales efforts that attempt to convince you that you exigency another DBMS. Try to resist unless a very compelling judgement is given and a short-term return on investment (ROI) can live demonstrated. Even when confronted with convincing reasons and pleasant ROI, live sure to double-check the arguments and ROI calculations. Sometimes the reasons specified are outdated and the ROI figures attain not remove everything into account—such as the additional cost of administration.

    Remember, every DBMS requires database administration support. Moreover, each DBMS uses different methods to achieve similar tasks. The fewer DBMS products installed, the less complicated database administration becomes, and the better your chances become of providing efficacious data management resources for your organization.

    Hardware Issues

    When establishing a database environment for application development, selecting the DBMS is only fraction of the equation. The hardware and operating system on which the DBMS will rush will greatly impact the reliability, availability, and scalability (RAS) of the database environment. For example, a mainframe platform such as an IBM zEC12 running z/OS will probably provide higher RAS than a midrange IBM xSeries machine running AIX, which in spin will probably exceed a Dell server running Windows. That is not to declare everything should rush on a mainframe; other issues such as cost, experience, manageability, and the needs of the applications to live developed must live considered. The bottom line is that you must live sure to factor hardware platform and operating system constraints into the DBMS selection criteria.

    Cloud Database Systems

    Cloud computing (see the sidebar) is increasing in usage, especially at petite to medium-size businesses. A cloud implementation can live more cost-effective than edifice an entire local computing infrastructure that requires management and support.

    A cloud database system delivers DBMS services over the Internet. The trade-off essentially comes down to trusting a cloud provider to store and manage your data in return for minimizing database administration and maintenance cost and effort. Using cloud database systems can enable organizations, especially smaller ones without the resources to invest in an enterprise computing infrastructure, to focus on their commerce instead of their computing environment.

    By consolidating data sources in the cloud, it is possible to help collaboration among partners, branch offices, remote workers, and mobile devices, because the data becomes accessible as a service. There is no exigency to install, set up, patch, or manage the DBMS software because the cloud provider manages and cares for these administrative tasks. Of course, the downside is that your data is now stored and controlled by an external agent—the cloud provider. Another inherent risk of cloud computing is the possibility of nefarious agents posing as legitimate customers.

    An illustration of a cloud database platform is Microsoft SQL Azure. It is built on SQL Server technologies and is a component of the Windows Azure platform.


    Hardware Today: IBM Server Snapshot Page 2 | killexams.com actual questions and Pass4sure dumps

    The Mainframe — Alive and Well

    IBM recently released what it is describing as its most sophisticated computing system ever — the IBM System z9 mainframe. According to Colette Martin, director of market management for the IBM System z9, it is the result of a three-year, $1.2 billion evolution endeavor involving 5,000 IBM engineers, software developers, and security experts from around the world.

    "The z9 more than doubles the capabilities of its predecessor, the z990. This new mainframe is capable of performing 1 billion transactions a day, provides on/off capacity on demand, scales up to 54-way, and has advanced resource virtualization and workload management capabilities." — Colette Martin, director of market management for the IBM System z9

    "The z9 more than doubles the capabilities of its predecessor, the z990," says Martin. "This new mainframe is capable of performing 1 billion transactions a day, provides on/off capacity on demand, scales up to 54-way, and has advanced resource virtualization and workload management capabilities."

    Security was clearly a major focus in the design. As a result, the z9 comes with an impressive array of high-end security features. Master encryption keys, for example, are stored in a tamper-resistant package that zeroes out data to avert an intruder from physically capturing it. Centralized key management in the z/OS allows consistent security policies to live set across server, data, and the network according to commerce goals. Other security features secure data being transported to alternate locations, accelerate up online transactions while keeping them totally secure, provide easy-to-deploy Internet security for mainframe workloads, and tender network-based security in conjunction with Cisco.

    x-Rated Servers

    At the antithetical conclude of the scale, IBM has been investing plenty of R&D dollars in xSeries and blade servers. ultimate week's Hardware Today, "Dueling Blades," looked at the latest BladeCenter offerings.

    On the xSeries front, the company recently released the eServer X3 architecture. Tim Dougherty, director of IBM eServer BladeCenter marketing, says this represents the culmination of a three- year, $100 million evolution endeavor to bring mainframe-inspired capabilities and high-end technology to 64-bit Intel Xeon-based servers. According to his numbers, this new architecture provides up to 46 percent higher 4-way performance compared to IBM's previous generation of Xeon-based systems. It moreover enables the simultaneous running of 32-bit and 64-bit applications and the rapid processing of massive amounts of data. X3-based systems can rush 64-bit x86 operating system software from Microsoft, Red Hat, and Novell.

    "X3 is optimized for superior server consolidation and enterprise application software, and it uses IBM Virtualization Engine technology to enhance virtualization capabilities," says Dougherty.

    IBM has moreover gotten into the dual-core game. The xSeries 366 is the first dual-core-capable Intel-based server from roomy Blue. Based on the X3 architecture, the x366 is positioned primarily for midtier commerce logic applications (like SAP, Oracle, and Siebel) using 64-bit reminiscence addressing.

    For users with always-on environments, IBM has released the xSeries 460. The entry-level 4-way machine scales up to 32-way, processing in an eight-chassis configuration. Upgrading from a smaller to larger x460 server, says Dougherty, has been made easy.

    The x460 is the second server based on the X3 architecture, and it is 60 percent faster than its predecessor. This Xeon MP system is meant to live used mainly for database serving, ERP, CRM, server consolidation, and upright market custom applications. It is priced from $18,129, although a typical 8-way model costs more than $72,182.

    There is moreover the newly released x260, a high-performance 7U server aimed at storage-intensive applications (also based on the X3 Architecture). The dual-core-capable x260 relies on 64-bit Intel Xeon MP processors and is available in a tower configuration. The entry charge of the xSeries 260 is $4,599.

    IBM has made several strategic moves that may further consolidate its grip at the top of the server charts. The company is offering financial incentives of up to $50,000 to partners developing software applications and tools for its iSeries platform.

    "The x260 can rush on yardstick 110 volt power in a fully redundant configuration, making it suitable for office environments," says Dougherty. "It has expandable processing power, memory, and storage capacity that is often required for e-mail and database serving applications."

    The ultimate major release in the IBM xSeries portfolio is Cluster 1350, the first cluster to incorporate AMD dual-core technology in a blade-based compute node. It moreover uses Intel- and POWER-based nodes in homogeneous or mixed node arrangements. IBM is clearly planning to spend this product to strengthen its position at the head of the blade market.

    "In yardstick cluster configurations, the Cluster 1350 supports more compute nodes than any of its competitors and double that of HP," says Dougherty. It offers the broadest scope of node and switch choices in a clustered solution from a major vendor."

    Strategic Moves

    IBM has made several strategic moves that may further consolidate its grip at the top of the server charts. The company is offering financial incentives of up to $50,000 to partners developing software applications and tools for its iSeries platform.

    Big Blue hopes to entice more than 2,500 software developers with: 1) an Application Innovation Program that provides support (this includes a no-charge virtual loaner program, Solution Factory assistance, and education) at no freight to ISVs to befriend strengthen their iSeries on-demand capabilities; 2) a Tools Innovation Program, which is fraction of its iSeries Developers Roadmap that gives ISVs and customers additional flexibility with their application choices in Java, RPG, COBOL, and .NET integration on i5/OS, Linux, AIX and Windows; and 3) an iSeries Innovation Program to extend access to IBM technical talent in Rochester to labor collaboratively with ISVs and other partners to develop more tightly integrated products for banking, wholesale, retail, manufacturing, and other industries. To date, these programs fill produced nearly 180 new applications and about 160 tools for the iSeries platform.

    Keeping with the collaboration theme, another core strategic factor is IBM's Systems Agenda.

    "Companies that were once isolated by disparate technologies increasingly exigency to collaborate in order to create more on demand operations," says Martin. "This requires that each firm's computing systems live linked more intelligently via collaborative processing."

    Systems Agenda involves the spend of technologies enjoy virtualization, open standards, and encryption to participate information across enterprises. Whether it's designing automobiles and aircraft or discovering new medicines, collaboration between companies and institutions has begun to blur the traditional lines of information technology. IBM's goal is to develop ways to enable such companies to labor seamlessly on commerce applications that transcend corporate boundaries.

    "Selected core design principles within the Systems Agenda will accelerate the saunter toward collaborative processing while continuing to provide the highest levels of transaction processing," says Martin. "This will befriend their clients to extend virtualization throughout the infrastructure to befriend define and determine relationships between users, resources, applications, and networks — a key ingredient for collaborative processing."



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