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IBM IBM DB2 10.5 DBA

IBM accelerates DB2 10.5, remolds it as a Hadoop killer | killexams.com actual Questions and Pass4sure dumps

within the new update of DB2, launched Friday, IBM has added a set of acceleration technologies, collectively code-named BLU, that engage to sequel the venerable database administration system (DBMS) more desirable acceptable for operating significant in-memory statistics analysis jobs. "BLU has Big benefits for the analytic and reporting workloads," stated Tim Vincent, IBM's vp and chief know-how officer for counsel administration application.

Developed by the IBM analysis and construction Labs, BLU (a evolution code name that stood for massive records, Lightening quickly, ultra effortless) is a bundle of novel innovations for columnar processing, records deduplication, parallel vector processing and data compression.

The center of attention of BLU changed into to permit databases to be "memory optimized," Vincent spoke of. "it'll hurry in reminiscence, but you won't acquire to sequel every thing in memory." The BLU know-how can besides score rid of the want for loads of hand-tuning of SQL queries to raise efficiency.

faster data analysis

on account of BLU, DB2 10.5 may velocity facts analysis by passage of 25 instances or greater, IBM claimed. This growth might eliminate the deserve to buy a divorce in-reminiscence database—akin to Oracle's TimesTen—for speedy records analysis and transaction processing jobs. "We're now not forcing you from a value mannequin perspective to dimension your database so every thing matches in reminiscence," Vincent spoke of.

On the net, IBM supplied an illustration of how 32-core system the disburse of BLU technologies could execute a question in opposition t a 10TB records set in less than a 2nd.

"In that 10TB, you might be [probably] interacting with 25 percent of that information on daily operations. you'd only deserve to maintain 25 % of that statistics in reminiscence," Vincent observed. "you can buy these days a server with a terabyte of RAM and 5TB of solid condition storage for under $35,000."

IBM's BLU acceleration know-how speeds DB2 queries against immense information units.

also, using DB2 might lop the labor costs of operating a divorce facts warehouse, on account that the pool of attainable database directors is frequently greater than that of facts warehouse consultants. In some circumstances, it may even office an easier-to-preserve option to the Hadoop records processing platform, Vincent referred to. among the many new technologies is a compression algorithm that outlets information in such a passage that, in some instances, the information does not need to be decompressed earlier than being study. Vincent defined that the statistics is compressed in the order through which it is stored, which skill predicate operations, such as adding a where clause to a question, will besides be carried out devoid of decompressing the dataset.

all over again-saving trick: the utility keeps a metadata table that lists the extravagant and low key values for every records web page, or column of data. So when a question is accomplished, the database can verify to peer if any of the sought values are on the records page."If the page isn't in memory, they would not acquire to read it into reminiscence. if it is in reminiscence, they should not acquire to carry it throughout the bus to the CPU and char CPU cycles examining complete the values on the web page," Vincent noted. "That enables us to be a lot greater efficient on their CPU utilization and bandwidth."With columnar processing, a question can draw in precisely the selected columns of a database table, in preference to the entire rows, which might devour extra memory. "we now acquire near up with an algorithm that is awfully productive in opting for which columns and which ranges of columns you would are looking to cache in reminiscence," Vincent spoke of.

On the hardware facet, the utility comes with parallel vector processing capabilities, a passage of issuing a lone guide to distinctive processors the disburse of the SIMD (Single guideline diverse data) guideline set accessible on Intel and PowerPC chips. The software can then hurry a lone query against as many columns because the system can zone on a register. "The register is the ultimate memory utilization aspect of the gadget," Vincent stated.

competitors rally

IBM is not alone in investigating new methods of cramming massive databases into the server memory. last week, Microsoft introduced that its SQL Server 2014 would besides include a few ideas, at the identical time known as Hekaton, to maximize using working reminiscence, in addition to a columnar processing technique borrowed from Excel's PowerPivot expertise.

Database analyst Curt Monash, of Monash analysis, has stated that with IBM's DB2 10.5 unencumber, Oracle now could be "now the only primary relational DBMS seller left without a proper columnar story."

IBM itself is using the BLU components of DB2 10.5 as a cornerstone for its DB2 SmartCloud infrastructure as a provider (IaaS), so as to add computational heft for records reporting and evaluation jobs. it could actually additionally insert the BLU technologies into different IBM information store and analysis items, such as Informix.

To handle upon this article and different PCWorld content, visit their fb web page or their Twitter feed.

where Is DB2 BLU Accelerator For IBM i? | killexams.com actual Questions and Pass4sure dumps

IBM has created a immaculate new database feature for its DB2 database for Linux, Unix, and windows operating techniques on the passage to hopefully sequel its means into the built-in DB2 for i database that resides inside the IBM i working device. For now, this BLU Accelerator feature, that can radically velocity up the sifting through statistics, is simply accessible for DB2 10.5 and handiest for reporting and analytics, but there's every intent to conform with massive Blue will sequel it on the IBM i and mainframe versions of its DB2 database and disburse it to support goose transaction processing.

Like different IT companies, IBM wants organizations to suppose that each itsy-bitsy bit of information that they generate or compile from their methods or purchase from third events during working their company is constructive, and the intent is essential. This sells storage arrays, and in case you can sequel CEOs deem this records is doubtlessly positive, then they're going to fork out the money to maintain it internal of a considerable number of sorts of records warehouses or Hadoop clusters for statistics at relaxation or in InfoSphere Streams programs for records and telemetry in action. there is big cash in them there big statistics hills, and with server virtualization pulling the rug out from underneath the server commerce during the past decade, hindering income growth, the Funny component about these Big facts jobs is that not anything of them are virtualized and based on the Big quantities of records they need to select up every day, they maintain swelling enjoy a batch of yeast.

IBM is not making any guarantees about bringing BLE Accelerator, that could goose analytics queries through between an component of eight and 25 instances while on the identical time reducing storage potential needs for information units due to columnar information compression, to different databases, but Tim Vincent, who's chief architect for DB2 on the Linux, Unix, and home windows structures, who's an IBM Fellow, and who's chief technology officer for IBM’s tips administration division, hinted pretty strongly. “We enact plot on extending this,” Vincent said at the BLU Accelerator launch in early April, “and we're going to carry the know-how into new items going ahead.”

So what exactly is BLU Accelerator? smartly, it's loads of issues. First, BLU implements a new runtime this is embedded inner of the DB2 database and a new table classification that is used by means of that runtime. These BLU tables coexist with the common row tables in DB2, and acquire the identical schema and disburse storage and reminiscence the identical way. The BLU tables orient information in columns as a substitute of the traditional row structured table used in relational databases, and this records is encoded in such a manner (the disburse of what Vincent called an approximate Huffman encoding algorithm) that has a further office whereby the statistics is kept so as so it can be searched even whereas it is compressed. The BLU Accelerator has a reminiscence paging structure in order that a gross database desk does not must reside in main memory to be processed, but the goal is to sequel disburse of the columnar structure to allow the database to be compressed enough so it may possibly live in main reminiscence and be plenty greater quickly searched. however again, it is not required, enjoy some in-memory database administration programs, and you'll movement chunks of a BLU database into leading reminiscence as you should query it. The BLU Accelerator knows about dissimilar core processors and SIMD engines and vector coprocessors on chips, and it may select talents of these gadgets to compress and search information. The Actionable Compression algorithm, as IBM calls it, is patented and enables for records for disburse devoid of decompressing it, which is a immaculate trick. The accelerator characteristic can besides enact whatever thing called data skipping, which potential it will possibly evade processing inappropriate statistics in a desk to enact a question.

right here’s the examine and contrast between the manner DB2 works now, with complete of the snazzy aspects to increase its efficiency which acquire been delivered through the years, and the passage the BLU Accelerator office works:

adequate, i am not a database professional or a comedian, however this is funny. The freaky thing about BLU Accelerator is that it does acquire database indexes. You don’t must enact aggregates on the tables, you don’t ought to tune your queries or the database, and you don’t acquire to sequel any alterations to SQL or database schemes. “You just load the information and query it,” as Vincent mentioned on the launch of the product.

The intent that you don’t want a database index is that records is compressed so a BLU table can, often talking, dwell in reminiscence. Vincent observed that eighty percent of the information warehouses on the earth had 10 TB of means, so if you can disburse the Actionable Compression and score a 10X compression ratio, then you can fitting the accustomed facts warehouse in a 1 TB memory footprint. however there are greater hints that velocity up those database queries, as you could survey here:

once you acquire compressed the records so it complete matches into main memory, you are taking skills of the indisputable fact that you acquire got equipped the statistics in columnar layout as an alternative of row structure. So, during this case, you space each and every of 10 years of information into 10 diverse columns every, for a total of 100 columns. And for those who are looking to search in 2010 handiest for a collection of the data, as the query above–locate the number of sale deals that the enterprise did in 2010–does, you then lop back that question down to 10 GB of the facts within the complete set. The information skipping feature during this case is awake of to search for revenue information, not different types of facts, so that reduces the statistics set complete the passage down to around 1 GB. The desktop you're the usage of to hurry this BLU Accelerator characteristic now not most effectual has 1 TB of main reminiscence however 32 cores, so that you parallelize the question and Destroy it up so 32 MB chunks of the statistics are partitioned and parceled out to every of the 32 cores and their memory segments. Now, disburse the vector processing means in an X86 or power processor, and you score round an component of 4 speedup in scanning the facts for the revenue facts. And the influence is that you can query a 10 TB desk in a second or less.

Sounds relatively useful, correct? So when enact the other DB2s score it? We’ll are trying to discover.

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New IBM big records know-how for Dramatically quicker information analysis and resolution-Making Enters the Market | killexams.com actual Questions and Pass4sure dumps

ARMONK, N.Y., June 26, 2013 /PRNewswire by means of COMTEX/ -- IBM IBM, +0.49% these days announced powerful client and enterprise companion aid for the new version of its DB2 database utility, now commonly purchasable. the new software -- which represents the work of tons of of IBM developers and researchers in labs around the globe -- provides game-changing expertise referred to as BLU Acceleration that makes it less difficult, greater not pricey and dramatically quicker to resolve Big quantities of facts.

As groups visage a flood of records generated by using computer systems, mobile devices, sensors and convivial networks, they're beneath unprecedented coerce to resolve a distinguished deal greater statistics at faster speeds and reduce fees. BLU Acceleration allows clients to acquire an Awful lot sooner access to key tips.

among the many organizations international which acquire skilled tenacious results from the brand new IBM application is the huge northern Europe fiscal institution Handelsbanken. "We had been very impressed with the efficiency and ease of BLU. They discovered that some queries executed an almost one hundred instances speedup with actually no tuning. They had been seeing detached acceleration of seven.4 times, with some queries going from 28 seconds down to sub-second response time," stated Lennart Henang, IT Architect at Handelsbanken.

Yonyou application Co. in Beijing is a number one commercial enterprise administration application and cloud carrier provider. according to Jianbo Liu, IT efficiency manager at Yonyou, "ERP and accounting utility purposes hurry a lot of experiences. They used DB2 BLU Acceleration and noticed their studies hurry sooner by as much as 40 instances. This classification of technology is a distinguished fitting for Yonyou's massive facts Analytic capabilities."

"The remarks we're hearing from shoppers and companions illustrates that we're proposing an imaginative and tenacious yet benchmark solution that may ingest big quantities of information and solemnize insights from complete this data at the point of acquire an sequel on," observed Bob Picciano, accepted supervisor, IBM information administration. "IBM's work with beta consumers and internal checks exhibit big pace and ease. in one illustration, BLU Acceleration turned into shown to be 10 times sooner than an extra established in-reminiscence database system. Some queries that took 7 minutes were proven to acquire dropped to 8 milliseconds, due to the innovations in BLU Acceleration."

the brand new IBM DB2 10.5 with BLU Acceleration goals for analytics on the velocity of thought with a number of made-in-IBM-Labs advances to significantly hurry analytic workloads for databases and facts warehouses:

-- Dynamic in-reminiscence technology that masses terabytes of facts in Random entry memory, which streamlines query workloads even when facts sets exceed the dimension of the reminiscence.

-- "Actionable Compression," which allows analytics to be carried out directly on compressed records without needing to decompress it - some consumers acquire mentioned as tons as 10 instances cupboard space discount rates.

-- An creative strengthen in database technology that permits DB2 to system each row-based and column-based mostly tables concurrently within the equal device. This allows for plenty faster evaluation of Big amounts of statistics for faster decision-making.

-- The simplicity to permit purchasers access to blazing-fast analytics transparently to their purposes, with out the deserve to increase a divorce layer of facts modeling or time ingesting records warehouse tuning

-- Integration with IBM Cognos enterprise Intelligence Dynamic Cubes to deliver step forward velocity and ease for reporting and analytics. companies can resolve key data and freely learn greater guidance quicker from distinct angles and perspectives to sequel greater recommended selections.

-- The means to select talents of both multi-core and lone guide distinctive records (SIMD) points in IBM vigour and Intel x86 processors

"The complete thought at the back of DB2 with BLU Acceleration is definitely reasonably charming," observed Andrew Juarez, a lead database administrator at Coca Cola Bottling Co. Consolidated. "I basically admire the strategy of giving me complete of the benefits of a columnar database in concord with a row-store inside the equal database. What IBM besides has done it's so particular with BLU Acceleration is it permits us to carry potent efficiency, even if the gross facts set won't fitting into reminiscence. that is faultfinding because in a huge records world, I may now not be capable of fitting complete of my facts into memory, even with very extravagant compression ratios. DB2 gives me a lone solution for a essential enterprise intention: bring sooner analytics to their users."

"We moved from Oracle Database to DB2 in April 2008," Juarez brought. "earlier than pitiable to DB2, their database changed into 950 GB and sustained a 35 GB-per-month increase price. simply with the aid of pitiable to DB2, the boom expense slowed to fifteen GB/month. nowadays their database is smaller than it turned into in 2008. just when i assumed issues could not score any superior, BLU Acceleration came alongside."

Iqbal Goralwalla, head of DB2 Managed functions at Triton Consulting of Norwich, UK, mentioned, "i was rather anxious after I sequel in DB2 10.5 with BLU Acceleration on my Linux Intel server, which definitely does not acquire a big volume of RAM, nor does it acquire the newest processors. The consequences surprised me. My analytic workload ran forty five instances faster. here is because with BLU Acceleration, not handiest can the facts be larger than the quantity of obtainable RAM, but DB2 is additionally very advantageous at preserving the facts in memory and become performing the records analytics directly on compressed facts."

The breakthrough velocity and simplicity of BLU Acceleration is a complement to the present transactional performance management of DB2 on vigour gadget. DB2 takes capabilities of energy gadget's trade leading multi-threading, cache measurement and memory bandwidth to bring redress pace and processing effectivity for both transactional and analytics workloads.

About IBM:

For extra tips about IBM's massive data platform: http://www-01.ibm.com/software/statistics/bigdata/platform/product.html

For more information about BLU Acceleration: http://www-01.ibm.com/utility/statistics/db2/linux-unix-home windows/db2-blu-acceleration/

Media Contact: Steve Eisenstadt IBM Media members of the family 1-914-766-8009 saeisens@us.ibm.com

source IBM

http://rt.prnewswire.com/rt.gif?NewsItemId=NY38303&Transmission_Id=201306260400PR_NEWS_USPR_____NY38303&DateId=20130626

Copyright (C) 2013 PR Newswire. complete rights reserved


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IBM's DB2 database update does time travel, gets lifelike | killexams.com actual questions and Pass4sure dumps

With the launch of DB2 10.1, Big Blue is adding a slew of new features that sequel DB2 more useful for modern, big-data workloads.

Depending on how you want to weigh it, IBM is either the world's number-two or number-three seller of database management systems, and it has a lot of secondary systems and services commerce that are driven off its DB2 databases.

Notice that they said DB2 databases. IBM has three different DB2s, not just one. There's DB2 for the mainframe, DB2 for its midrange IBM i (formerly OS/400) platform, and DB2 for Linux, Unix, and Windows platforms.

It is the latter one, known sometimes as DB2 LUW, that was revved up to the 10.1 release smooth on Tuesday. Concurrent with the database upgrade, IBM is besides upgrading its InfoSphere Warehouse – a superset of DB2 designed for data warehousing and OLAP serving – to the 10.1 level.

At a very elevated level, explains Bernie Spang, director of product strategy for database software and systems at IBM, the DB2 10.1 release is focused on two things: the challenge of coping with Big data, and automating more of "the drudgery of the mechanics of the data layer" in applications.

The update to DB2 and InfoSphere Warehouse, which both ship on April 30, is the culmination of four years of evolution by hundreds of engineers working around the globe from IBM's software labs. The new database besides has several performance enhancements, a new data-compression method, and increased compatibility with Oracle databases to wait on animate Oracle shops to sequel the jump.

On the big-data front, IBM has juiced the connector that links DB2 to Hadoop MapReduce clusters running the Hadoop Distributed File System (HDFS). Spang says that the prior Hadoop connector was "rudimentary", and so coders went back to the drawing board and created a much better one that allows for data warehouses to more easily suck in data from and spit out data to Hadoop clusters, with less work on the partake of database admins.

IBM DB2 10 versus InfoSphere Warehouse 10

IBM's DB2 10 versus InfoSphere Warehouse 10 (click to enlarge)

The new DB2 besides supports the storing of graph triples, which are used to enact relationship analytics, or what is sometimes called graph analytics.

Rather than looking through a mountain of data for specific subsets of information, as you enact in a relational database or a Hadoop cluster, graph analytics walks you through complete of the feasible combinations of data to survey how they are connected. The links between the data are what is important, and these are usually shown graphically using wire diagrams or other methods – hence the name graph analysis.

Graph data is stored in a special format called Resource Definition Framework (RDF), and you query a data store with this data using a query language called SPARQL.

The Apache Jena project is a Java framework for edifice semantic web applications based on graph data, and Apache Fuseki is the SPARQL server that processes the SPARQL queries and spits out the relationships so they can be visualized in some fashion. (Cray's new Urika system, announced in March, runs this Apache graph analysis stack on top of a massively multithreaded server.)

Just enjoy they imported objects and XML into the DB2 database so they could be indexed and processed natively, IBM is now bringing in the RDF format so that graph triples can be stored natively.

As IBM explains it – not strictly grammatically, to some English majors – a triple has a noun, a verb, and a predicate, such as Tim (noun) has won (verb) the MegaMillions lottery (predicate). You can then query complete aspects of a set of triples to survey who else has won MegaMillions – a short list, in this case.

In tests among DB2 10.1 early adopters, applications that used these graph triples ran about 3.5 times faster on DB2 than on the Jena TDB data store (short for triple database, presumably) with SPARQL 1.0 hitting it for queries.

DB2 10.1 for Linux, Unix, and Windows platforms besides includes temporal logic and analysis functions that allow it to enact "time travel queries" – functions that IBM added to the mainframe variant of DB2 last year. By now supporting endemic temporal data formats inside the database, you can enact AS OF queries in the past, present, and future across datasets without having to bolt this onto the side of the database.

"This dramatically reduces the amount of application code to enact bi-temporal queries," says Spang, and you can enact it with SQL syntax, too. You can swirl time travel query on or off for any table inside the DB2 database to enact historical or predictive analysis across the data sets. RDF file format and SPARQL querying are available across complete editions of DB2 10.1.

Like other database makers, IBM is fixated on data compression techniques not only to reduce the amount of physical storage customers need to sequel underneath their databases, but besides to hurry up performance. With DB2 9.1, IBM added table compression, and with the more recent DB2 9.7 from a few years back, temporary space and indexes were compressed.

With DB2 10.1, IBM is adding what it calls "adaptive compression", which means applying data row, index, and temp compression on the cruise as best suits the needs of the workload in question.

In early tests, customers saw as much as an 85 to 90 per cent reduction in disk-capacity requirements. Adaptive compression is built into DB2 Advanced Enterprise Server Edition and Enterprise Developer Edition, but is an add-on for an additional fee for Enterprise Server Edition.

Performance boosts, management automation

On the performance front, IBM's database hackers acquire tweaked the kernel of the database to sequel better disburse of the parallelism in the multicore, multithreaded processors that are common today, with specific performance enhancements for hash joins and queries over star schemas, queries with joins and sorts, and queries with aggregation.

Out of the box, IBM says that DB2 10.1 will hurry up to 35 per cent faster than DB2 9.7 on the identical iron. With complete of the data compression turned on, many early customers are seeing a factor of three better performance from their databases. Which means – sorry, Systems and Technology Group – many DB2 customers are going to be able to score better performance without having to buy new iron.

On the management front, DB2 now has integrated workload management features that can cap the percentage of total CPU capacity that DB2 is allowed to consume, with arduous limits and soft limits across multiple CPUs that are sharing capacity. You can besides prioritize distinguished DB2 workloads with different classes of service smooth agreements.

Database indexes now acquire new features such as jump scan, which optimizes buffer usage in the underlying system and cuts down on the CPU cycles that DB2 eats, as well as smart prefetching of index and data to boost the performance of the database, much as L1 caches in chips enact for their processors.

DB2 now besides has a multi-temperature data management feature that knows the disagreement between flash-based SSDs, SAS RAID, SATA RAID, and tape or disk archive, and can automagically run database tables that are hot, warm, cold, and downright icy to the prerogative device.

Access control is a Big deal, and DB2 10.1 now sports fine-grained row and column access controls so each user coming into a system can be locked out of any row or column of data. Now, employees only survey the data they need to know, and you don't acquire to partition an application into different classes of users. You just enact it at the user smooth based on database policies. This feature masks just the data you are not conjectural to see.

IBM continues to ramp up its compatibility with Oracle's PL/SQL query language for its eponymous databases, and says that with the 10.1 release, early access users are seeing an detached of 98 per cent compatibility for Oracle PL/SQL queries running against DB2. That's not 100 per cent, but it is getting closer.

Finally, as far as Big features go, the other new one is called "continuous data ingest", which allows for external data feeds to continuously pump data into the database, or for the database to continuously pump into the data warehouse, without interrupting queries running on either box. This ingesting relies on bringing the data into the database and warehouse in a parallel fashion, with multiple connections, but exactly how it works is not transparent to El Reg as they Go to press. It seems a bit enjoy magic.

DB2 Express-C is free and has the time travel feature; it is capped at two processor cores and 4GB of main memory. DB2 Express adds the row and column access control, label access control (an existing feature) elevated availability clustering features (new with this release), and has a memory cap of 8GB and can hurry across four processor cores; it costs $6,490 per core.

Workgroup Server boosts the cores to 16 and the memory to 64GB, and doesn't acquire the HA features. Enterprise Server has the multi-temperature data management feature and costs $30,660 per core. The top-end Advanced Enterprise Server has complete the bells and whistles, including optimizations and tools to sequel DB2 play better in a data warehouse. Pricing for the Workgroup Server and Advanced Enterprise Server were not available at press time. ®

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Configuring Secure Sockets Layer (SSL) for DB2 Server and Client | killexams.com actual questions and Pass4sure dumps

Environment : Linux , DB Version : 10.5

Configure the Server to use SSL

Lets understand the requirement here. They need the DB Server to accept connections from a new port which uses SSL. So they need to open a new service to accept SSL connections. One partake of this assignment is authentication (which can be done besides via certificates) and another partake is the encrypted connection that protects the communication between server and client.

GSKit package is used for key generations. This is automatically installed when DB2 is installed. The default path is (For Linux the default path is /opt/ibm/db2/V11.1/gskit/bin/).

rule : hurry complete commands as instance owner.

Ok now lets start ….

  • Create a Folder to rescue the keys ,a key database and set up digital certificates with below command. (write access needs to be there)
  • /home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -keydb -create -db “server.kdb” -pw “Passw0rd” -stash

    note : if the LIBPATH is set correctly, no need to specify a path when running gsk8capicmd_64.

    Command gsk8capicmd_64 is used for management of CA certificates. In their command they used the following options:

  • -keydb — work with key database
  • -create — create a key database
  • -db — name of the file that is used as a key database
  • -pw — password to the key database
  • -stash — this option will create a stash file in the identical location as the key database
  • The -stash option creates a stash file at the identical path as the key database, with a file extension of .sth. At instance start-up, GSKit uses the stash file to obtain the password to the key database.

    2. The next step is to create a certificate for the key database. Here, I will create a self-signed certificate with a label mylabel.

    /home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -create -db “server.kdb” -pw “Passw0rd” -label “mylabel” -dn “CN=testcompany” -size 2048 -sigalg SHA256_WITH_RSA

    The following options are used:

  • -cert — command is for certificates
  • -create — creates the certificate
  • -db — indicates which database the certificate will be stored in
  • -pw — password for the key store. The hyphen (-) can be used, and an interactive prompt will emerge for password
  • -label — label for the certificate to uniquely identify the certificate in the key database
  • -dn — The X.500 distinguished name that will identify the certificate. Only a CN (common name) value is required. Other information can be added to the DN (distinguish name), such as O for an organization, C for a country and so on.
  • -size — size of the key in bits
  • -sigalg — signature algorithm used for the certificate. Algorithms for PKCS #12 are used.
  • 3. Extract the certificate you just created to a file, so that you can deal it to computers running clients that will be establishing SSL connections to your Db2 server./home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -extract -db “server.kdb” -pw “Passw0rd” -label “mylabel” -target “server.arm” -format ascii -fips

    at this stage your directory will acquire the below set of files,

    server.rdb, server.crl, server.sth, server.kdb, server.arm

    To parade the certificate, issue the following command:/home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -details -db “server.kdb” -pw “Passw0rd” -label “mylabel”

    You will be needing the above files later… now lets run into configuring the DataBase to create a new SSL service.

    4. Changes in DB2 Server Configurations To set up your Db2 server for SSL support, log in as the Db2 instance owner and set the following configuration parameters and the DB2COMM registry variable.a. Set the ssl_svr_keydb configuration parameter to the fully qualified path of the key database file. (.kdb file is used from the above 5 files created.Author assumes that you acquire created the keys in this path : /home/db2inst2/cert/)

    db2 update dbm cfg using SSL_SVR_KEYDB /home/db2inst2/cert/server.kdboutput :DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.

    b. Set the ssl_svr_stash configuration parameter to the fully qualified path of the stash file. (.sth file is used from the above 5 files created.Author assumes that you acquire created the keys in this path : /home/db2inst2/cert/)db2 update dbm cfg using SSL_SVR_STASH /home/db2inst2/cert/server.sthOutput :DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.

    c. Set the ssl_svr_label configuration parameter to the label of the digital certificate of the server, which you added in Step 1. If ssl_svr_label is not set, the default certificate in the key database is used. If there is no default certificate in the key database, SSL is not enabled.db2 update dbm cfg using SSL_SVR_LABEL mylabel

    d. The SSL connections require a divorce port. It can be defined as a service name or port number. The service name needs to be defined in /etc/services. vi /etc/services file and add a new service name for SSL port.

    db2cs_db2inst2 50002/tcpeg: sequel positive the service name and port is different from the existing port, db2c_db2inst2 50001/tcp  db2cs_db2inst2 50002/tcp

    e. The new service name is db2cs_db2inst2, port 50002, protocol TCP. This parameter is besides required to enable SSL connections.db2 update dbm cfg using SSL_SVCENAME db2cs_db2inst2

    OutPut : DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.

    f. Add the value SSL to the DB2COMM registry variable. db2set -i db2inst2 DB2COMM=SSL

    g. Ensure to enable both TCP/IP and SSL communication protocols for the DB Instance. If you are planning to disburse only one, then no need to add both. db2set -i db2inst2 DB2COMM=SSL,TCPIPDone.

    Just to be on the safe side, validate you configs using the below command.db2 score dbm cfg|grep SSL SSL server keydb file (SSL_SVR_KEYDB) = /home/db2inst2/cert/server.kdb SSL server stash file (SSL_SVR_STASH) = /home/db2inst2/cert/server.sth SSL server certificate label (SSL_SVR_LABEL) = mylabel SSL service name (SSL_SVCENAME) = db2cs_db2inst2 SSL cipher specs (SSL_CIPHERSPECS) = SSL versions (SSL_VERSIONS) = SSL client keydb file (SSL_CLNT_KEYDB) = SSL client stash file (SSL_CLNT_STASH) =

    5. quit and ReStart the DB. 6. Validate if the DB is started with multiple ports. netstat -tap|grep db2tcp 0 0 *:db2c_db2inst2 *:* LISTEN 23682/db2sysc 0tcp 0 0 *:db2cs_db2inst2 *:* LISTEN 23682/db2sysc 0


    IBM Updates Optim Data Archiving Software | killexams.com actual questions and Pass4sure dumps

    IBM last week unveiled the version 7.3 release of its Optim suite of tools, which helps organizations to archive data and prepare data for testing. The new version adds support for the latest server operating systems and database. IBM besides launched Optim Application Retirement, for JD Edwards EnterpriseOne and Siebel applications that are getting a itsy-bitsy long in the tooth.

    Just because an organization is no longer actively using an enterprise application, it does not signify the application can be completely disregarded. For one thing, the organization may need to access the data contained within the application and its database. Also, the organization may need to maintain the data in a legally compliant manner.

    IBM can wait on in these situations with a version of its Optim data archiving utility specifically designed for retiring worn applications. Optim Application Retirement helps in three main areas, including consolidating the data within worn applications, enabling access to the data through benchmark reporting tools, and addressing information lifecycle management and compliance requirements.

    IBM previously offered a universal purpose version of Optim for disburse in retiring worn enterprise applications. With the launch of Optim Application Retirement, it now provides predefined models and templates for achieving retirement-related tasks within the EnterpriseOne and Siebel data structures.

    IBM besides updated the relaxation of its Optim suite, which includes the version 7.3 releases of Optim Data Growth and Optim Test Management solutions, and new releases of related tools.

    With version 7.3 IBM supports the latest releases of the major databases, including SQL Server 2008, DB2 LUW 9.5 and 9.7, Oracle 11g and 11g R2, and DB2 z/OS 10.1. (DB2/400 is not supported; companies running EnterpriseOne on IBM i must first load the data into DB2 LUW to disburse Optim, according to IBM instructions.) Optim 7.3 besides now supports Unicode on Informix, and gains various performance enhancements resource estimators, and data loading enhancements.

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