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Oracle Oracle Database 10g: New

Indian businesses re-think about business productivity with Oracle self reliant Database | true Questions and Pass4sure dumps

New Delhi: Oracle India today announced that a number of Indian corporations are realizing massive enterprise cost from their records, with the aid of leveraging the Oracle independent Database - the industry’s first ‘self-riding, self-securing and self-repairing’ database. Armed with deeper and more significant insights, these clients were in a position to tremendously help and quickly-tune business decisions, interpose modern items/services to market sooner and create a smarter workforce.

as a result of its independent performance, most early adopters gain not handiest every lone started realizing company benefits directly, dote faster transaction processing, extra accurate earnings forecasts and more advantageous client experiences; it’s additionally helped them advocate their company’s protection textile to advocate intuitively thwart cyber-threats and facts thefts. corporations the usage of Oracle self enough Database approach from different industries such as banking, consulting, digital commerce, IT and skilled features, and unconventional sectors dote footwear and spices.

“Performing ATM Analytics on Oracle self reliant records Warehouse, they uploaded only aggregate facts referring to ATM performance metrics, in accordance with their compliance instructions round records privacy and safety. in exactly below four weeks, they had an intuitive, person-friendly reply with replete drill-down and roll-up capabilities. This empowered their senior leaders with actionable intelligence for sooner resolution making. We’re now looking to bettering the scope with convivial media content for more suitable sentiment analysis and a greater holistic understanding of their valued clientele”, noted Shalini Warrier, COO, Federal financial institution.

beyond gigantic businesses, SMBs, and born-in-the-cloud startups are optimizing their materials, boosting their aggressive edge and crafting hyper-personalised purchaser rendezvous concepts with Oracle autonomous Database. Codeinks, a Bangalore based ecommerce software product business, is one such startup.

“Our purchasers are worrying sooner, deeper, extra redress insights from us, however most database applied sciences aren’t speedily adequate to tackle such cumbersome obligation analytics workloads for actual-time reporting. They used Oracle self reliant statistics Warehouse out of the field, and they realized a typical performance growth within the compass of 30%-50% for their defined situations. They were capable of immediately create dashboards in near-precise time to trap the results of what-if evaluation around quite a number factors together with session facts looking at person interactions in a particular timeframe or round particular projects”, stated Manish Verma, Cofounder & CEO, Codeinks

With Oracle self reliant Database, CIOs are empowered to obligate their businesses out of upkeep mode and hasten up innovation. Oracle purchasers accept the liberty of the utilize of the identical database in the cloud, on premises or with Cloud at customer, easing the transition of current, mission-crucial applications.

“in the remaining three hundred and sixty five days, their consumers gain rewired their organizational DNA to transform into a digital-first, data-pushed company. they are liberating up elements to focal point extra on innovation. to position their records capital to greater utilize and enhance their core advantage, we’re helping them upgrade to the know-how of day after today, nowadays. self enough application might breathe the next massive boom lever for groups”, pointed out Shailender Kumar, Regional Managing Director, Oracle India.

groups reimagine business productiveness with Oracle self sustaining Database | true Questions and Pass4sure dumps

corporations the usage of Oracle self enough Database approach from diverse industries reminiscent of banking, consulting, digital commerce, and unconventional sectors dote shoes and spices. 

Oracle India introduced that a few Indian agencies are realizing stout company value from their records, by using leveraging the Oracle self enough Database - the trade’s first ‘self-using, self-securing and self-repairing’ database. Armed with deeper and extra meaningful insights, these shoppers gain been able to greatly multiply and quickly-tune business selections, interpose modern items/capabilities to market sooner and create a wiser corpse of workers.

as a result of its self sustaining functionality, most early adopters haven't best every lone started realizing company advantages instantly, dote faster transaction processing, greater accurate earnings forecasts and better customer experiences; it’s additionally helped them enhance their firm’s safety material to advocate intuitively thwart cyber-threats and records thefts. businesses using Oracle independent Database approach from diverse industries similar to banking, consulting, digital commerce, IT and expert services, and unconventional sectors dote footwear and spices. 

“Performing ATM Analytics on Oracle self reliant records Warehouse, they uploaded simplest combination data touching on ATM performance metrics, according to their compliance guidelines round data privacy and protection. in only beneath four weeks, they had an intuitive, person-pleasant solution with replete drill-down and roll-up capabilities. This empowered their senior leaders with actionable intelligence for quicker conclusion making. We’re now trying to bettering the scope with convivial media content material for more desirable sentiment evaluation and a greater holistic figuring out of their valued clientele”, said Shalini Warrier, COO, Federal bank.

beyond gargantuan enterprises, SMBs, and born-in-the-cloud startups are optimizing their substances, boosting their competitive edge and crafting hyper-personalised buyer rendezvous concepts with Oracle self reliant Database. Codeinks, a Bangalore based ecommerce utility product enterprise, is one such startup. 

“Our clients are disturbing sooner, deeper, more accurate insights from us, however most database applied sciences aren’t speedy adequate to tackle such cumbersome duty analytics workloads for actual-time reporting. They used Oracle self enough records Warehouse out of the box, and they realized a criterion performance improvement in the compass of 30%-50% for their defined eventualities. They had been in a position to rapidly create dashboards in near-real time to trap the outcomes of what-if evaluation round various components including session records taking a stare at consumer interactions in a particular timeframe or around confident projects”, observed Manish Verma, co-founder and CEO, Codeinks 

With Oracle autonomous Database, CIOs are empowered to power their agencies out of protection mode and hasten up innovation. Oracle customers accept the freedom of the utilize of the equal database in the cloud, on premises or with Cloud at customer, easing the transition of current, mission-important purposes. 

“within the remaining 365 days, their customers gain rewired their organizational DNA to seriously change into a digital-first, information-driven business. they're releasing up materials to heart of attention more on innovation. to dwelling their information capital to greater utilize and beef up their core skills, we’re assisting them help to the know-how of the following day, today. self enough application might breathe the subsequent great multiply lever for companies”, observed Shailender Kumar, regional managing director, Oracle India.

Will You silent breathe chuffed along with your Oracle Database in five Years Time? | true Questions and Pass4sure dumps

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Is the Oracle-DBA relationship breaking down?

the region of the Database Administrator (DBA) has modified in view that the technology went mainstream in the Seventies, writes Bruce Momjian, co-founding father of the PostgreSQL world construction group. Over the eventual forty years three or four providers gain sought to dominate the market and gain invested heavily in constructing the “Rolls Royce” of databases for mission-important on premises purposes.  When the Oracle database marked its thirtieth birthday in 2007, it felt basically dote a cult gathering as everyone in the Moscone middle gave Larry Ellison a standing ovation as he arrived for his keynote.

It became an comprehensible reaction, because the DBAs within the viewers had additionally invested closely in becoming Oracle experts.  That thirtieth birthday celebration become symbolic of the unstated shrink between DBAs and Oracle at the moment.  both gain been heavily conditional on one one more.  speedy forward to today, even though, and the relationship is changing.  further and further DBAs are questioning their on-going reliance on Oracle.  when I meet Oracle customers, I request them one intentionally provocative query:  assuming that you are chuffed with Oracle nowadays, will you silent breathe contented in five years time?

DBABruce Momjian, co-founding father of the PostgreSQL international progress group

Given how shut the connection between DBAs and Oracle has been historically, it is enjoyable to breathe vigilant how people reply.  at first there is some entertainment or dismissive snorts of “Of direction i'll!”

however once they start to unpack how market dynamics gain changed and dependence the modern opportunities that exist as a result of open supply, the humor alterations.

more basically as they discover what these DBAs necessity from their database platforms it prompts reflection and acceptance that whereas Oracle has been the defacto database generic on premises it could possibly not breathe the optimal alternative relocating forward, principally as corporations are looking for superior flexibility and agility from their database infrastructure.  via the End of those periods they commonly gain a really energised audience enthusiastic to fade out and discover the potential of open source-based databases corresponding to PostgreSQL.

today’s truth: Oracle and the DBA neighborhood Drifting apart?

since the database is so critical to Oracle’s Cloud approach, you would suppose Oracle would outcome every limited thing viable to maintain its traditionally potent bond with the DBA community.  besides the fact that children, as with every lone relationship, instances exchange and sometimes those involved waft aside. So what has led to this relationship to smash down?

F1 On-Premises Database

Oracle has developed an on premises database that has so tons performance it could breathe described as the components One equal of a database. i might stick my neck out and snort that ninety five% of the configuration data for the stout majority of databases gain not been modified due to the fact that deployment.  that suggests DBAs outcome not gain the entire performance Oracle offers.  Gartner has spoke of that open source databases might tackle 95% of every lone current database requirements, so it is going to breathe no shock that builders are turning to open source alternate options for quicker, extra agile databases that carry what they need, no longer what the vendor thinks they want.

Barebones Cloud Database

while DBAs are used to characteristic-rich on premises Oracle databases the selfsame cannot breathe spoke of for the Oracle Cloud. Gartner has counseled that Oracle Cloud is a minimal workable product and that is infrequently spectacular, as a result of Larry Ellison has admitted that era 2 of the Oracle Cloud has required an entire re-architecture of its expertise.  This should function a warning that DBAs should silent no longer hope like-for-like equivalency in the Cloud!

The self enough Database

Oracle sales executives dwelling it as a means to unencumber DBAs to outcome extra; although, their bosses are greater interested in appealing to business conclusion makers, explicitly asserting it should breathe an opening to cleave costs…the most costly of which is the DBA operating the database! despite this blunt probability the reality is that autonomous applied sciences will, within the lengthy-term, develop into a feature of database technology.  This impending trade is encouraging DBAs to re-consider their database innovations; here is not always a reevaluation in Oracle’s favour.

The Cloud alterations Market Dynamics

In these days’s digital world, where agility and value are the leading drivers, the company case for Oracle is fitting tougher to justify.  As automotive producers talk a brace of future with mobility as a service instead of buyers owning vehicles, in a similar mode DBAs are being advised they don’t should “personal” databases on premises.  rather they may silent switch to Cloud-based mostly functions, but the danger is that whereas these “all that you would breathe able to devour” contracts appear to breathe appealing, consumers can quickly rack up massive expenses for databases that don't appear to breathe fitting for the challenges they face. developers want to spin up situations far more hastily and at much less cost than ordinary on-premise databases. The Cloud offers them the capability to movement far from the likes of Oracle to cloud-native alternatives that offer better flexibility and are more fitting for his or her specific functions.

The alternative: A Time for Pragmatic Reflection

I realize that for Oracle diehards what i'm asserting is nothing short of heresy, but there are many pragmatic DBAs obtainable who realize that a schism is occurring.  The combination of the on-going fallout from the financial cataclysm (which has suppressed IT budgets for decades) and the urgency of responding to the digital term is forcing cool-headed, pragmatic reflection.

Take, for instance, Oracle righteous software Clusters (RAC).  It became in the nascence developed as AWS changed into most effective getting off the ground and Larry concept the future turned into Grid Computing (he famously referred to as Cloud “finished gibberish” returned then!)  It took a long time to superb, but it become located because the solution to the tremendously performant, respectable databases that every lone and sundry envisioned they would necessity for information superhighway 2.0.

these days, they hear commentators speakme about data lakes, which in conception may silent breathe model to RAC.  definitely, RAC is incredibly advanced, costly and never scalable ample for such initiatives.  it is why Oracle has struggled to profit traction with the cyber web unicorns which are dominating business nowadays.  they gain turned to a great preference of open supply-primarily based options that may give the more immediate and acceptable functionality obligatory to scale their corporations.

Even the neatly-established web giants – folks that you can call would necessity the total could of Oracle database performance – are looking for to fracture away.  ultimate yr there were rumours about Salesforce trying to circulation off Oracle and greater these days, Amazon web features (AWS) has been candid about its want to ride off Oracle. Of path, this makes for wonderful media headlines, however the underlying message is lucid – Oracle is expensive, the performance isn’t best to the digital era and there are many credible alternate options accessible. 

the longer term: outcome you've got a five-12 months Database Plan?

We shouldn’t breathe shocked that many DBAs view Oracle as a legacy database platform that is not hardy for the demands of digital enterprise.  more and more, I hope they are able to observe DBAs answering my fashioned query through relocating far from Oracle, because it can not offer the stage of innovation they're going to require in the future.  And for those that are nonetheless unsure or evaluating their alternate options then i'd suggest some elementary checks:

  • Is there a realistic understanding behind opting for an Oracle database?
  • Does this application require selected functionality in Oracle?
  • How a fine deal outcome you necessity to spend?
  • How much configuration outcome you should do?
  • in order for you scalability, can the Oracle Cloud bring it?
  • no matter if you're for the understanding that alternatives to Oracle or accord with Oracle is the confiscate alternative, the most critical constituent is that you must nascence planning as early as feasible.

    there are lots of factors to believe from the technical necessities to the licensing implications of your database preference – both at time of implementation and into the longer term. chiefly it's vital to opt for the database that matches your enterprise wants.  If the route for the IT fork is particular and clear, then it may well breathe sensible to utilize a closed supply database comparable to Oracle.  besides the fact that children, in this day and age it is uncommon that a enterprise has such simple task.  if your business is disturbing more desirable flexibility from IT, since the strategic direction is fluid, then it makes feel to accept as righteous with open source-based alternatives.  this can supply DBAs the opening to alter the database method as the path of trip for the enterprise alterations, allowing for the exploration of different markets and customer demand.

    Bruce Momjian is co-founder and core group member of the PostgreSQL world pile community, and has worked on PostgreSQL due to the fact that 1996. He has been employed by passage of EnterpriseDB, the database platform business, on account that 2006

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    Oracle Database 10g: modern Features for Oracle8i OCPs

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    Top 10 modern data warehousing features in Oracle Database 10g | true questions and Pass4sure dumps

    Mark Rittman

    Mark Rittman is a guest contributor. He is an OCP DBA and works as a consulting manager at Plus Consultancy in England, where he specializes in developing business intelligence and data warehousing applications using the Oracle Database, Application Server, Discoverer, Warehouse Builder and Oracle OLAP.

    You can find more of Mark's travail at

    Plus Consultancy's expense Rittman shares what he believes are the top 10 modern data warehousing features in Oracle Database 10g. utilize the following list to navigate to each feature.

      TABLE OF CONTENTS  1. The SQL Model Clause  2. The SQLAccess Adviser  3. Improvements to the Multidimensional OLAP Engine  4. The Tune MView Advisor and improvements to Query Rewrite  5. Data Pump, The replacement for import and export  6. Improvements to storage management  7. Faster replete table scans  8. Automatic tuning and maintenance  9. Asynchronous Change Data Capture  10. Improvements to Oracle data mining

      1. The SQL Model clause[ revert to Table of Contents ]

    The modern data warehousing feature in Oracle Database 10g that has probably received the most attention is the SQL Model clause. The SQL Model clause allows users to embed spreadsheet-like models in a SELECT statement, in a passage that was previously the domain of dedicated multidimensional OLAP servers such as Oracle Express and Oracle9i OLAP. The SQL Model clause brings an entirely modern dimension to Oracle analytical queries and addresses a number of traditional shortcomings with the passage SQL normally works.

    The SQL Model clause has been designed to address the sort of situation where, in the past, clients gain taken data out of relational databases and imported it into a model held in a spreadsheet such as Microsoft Excel. Often, these models involve a progression of macros that aggregate data over a number of business dimensions, over varying time periods, and following a set of intricate business rules that would breathe difficult to express as generic SQL. I've worked on many a client rendezvous where the limitations of SQL meant that a number of standalone exceed spreadsheets had to breathe used, and while these gave the client the analytical capabilities they required, the accustomed issues of scalability and reliability of replicated data, and necessity of overall control often became lucid after a while.

    The aim of the SQL Model clause is to give generic SQL statements the aptitude to create a multidimensional array from the results of a generic SELECT statement, carry out any number of interdependent inter-row and inter-array calculations on this array, and then update the base tables with the results of the model. An case SQL statement using the MODEL clause would stare like;

    SELECT SUBSTR(country,1,20) country, SUBSTR(prod,1,15) prod, year, sales FROM sales_view WHERE country IN ('Italy','Japan') MODEL revert UPDATED ROWS PARTITION BY (country) DIMENSION BY (prod, year) MEASURES (sale sales) RULES ( sales['Bounce', 2002] = sales['Bounce', 2001] + sales['Bounce', 2000], sales['Y Box', 2002] = sales['Y Box', 2001], sales['2_Products', 2002] = sales['Bounce', 2002] + sales['Y Box', 2002]) ORDER BY country, prod, year;

    More details on the SQL Model clause can breathe establish in "The modern Oracle10g SQL Model Clause", the OracleWorld white paper "SQL Model clause of Oracle Database 10g", the OTN article "Announcing the modern Model" by Jonathan Gennick and OTN's documentation.

      2. The SQLAccess Adviser[ revert to Table of Contents ]

    Part of the Oracle Database 10g Server Manageability feature, the SQLAccess Adviser recommends the best combination of indexes and materialized views for a given database workload. Available either at the command line (via the DBMS_ADVISOR package) or through the Advisor Central constituent of the modern Web-based Oracle Enterprise Manager, the SQLAccess Adviser is based on the index and summary advisors previously bundled with Oracle9i and provides a one-stop-shop for tuning and summarizing your warehouse data.

    More details on the SQLAccess Adviser can breathe establish in this OracleWorld white paper, ""Turbocharge your database: utilize the Oracle Database 10g SQLAccess Advisor" by Lillian Hobbs, the OTN documentation and this Oracle-by-example tutorial.

      3. Improvements to the multidimensional OLAP engine[ revert to Table of Contents ]

    With Oracle9i, the previously standalone Express multidimensional engine is now incorporated into the Oracle database, and with Oracle Database 10g, benefits of integration with the traditional relational Oracle engine are starting to become apparent.

    First up is improvements to the passage great analytic workspaces can breathe partitioned, introducing into the Oracle OLAP world some of the advanced partitioning options currently enjoyed by Oracle database users. Currently, analytic workspaces, stored as AW$ tables within an Oracle schema, can breathe partitioned across multiple rows in the AW$ table by specifying a maximum segment size, allowing you to split an individual analytic workspace into (say) 10 GB segments, one in each table row. This table could then breathe partitioned just dote any other Oracle table, allowing you to build one row in one tablespace, another in another, and each of these tablespaces could of course breathe stored in datafiles on different physical disk units. Although this was of some benefit, splitting by segment size was the only passage of partitioning the data, and you couldn't specify what objects within the analytic workspace went in to each partition. Oracle10g OLAP will now include an enhancement where you can specify exactly which objects within the analytic workspace fade in to each partition, and you can further subdivide this by segment size if objects are particularly large.

    In a similar fashion, variables within the analytic workspace can now breathe partitioned, either by compass of dimension members, a list of dimension members, or by reference to a CONCAT dimension. The 10g multidimensional engine then stores each variable partition as a part physical object, which can breathe directed to part rows in the AW$ table (allowing you to partition these across different tablespaces and physical disk drives); the variable, however, appears as just one object to the application, simplifying the data model and allowing Oracle to outcome every lone the difficult travail in the background.

    Another excellent modern feature, and a true improvement over what was available with Express, is advocate for multi-user read-write access to individual analytic workspaces. In the past, one drawback with Express was that only one user could attach to an Express database in read-write mode, leading Express developers to develop a total compass of alternative solutions to allow ad-hoc write access to Express databases. In Oracle 10g OLAP, analytic workspaces can breathe attached in MULTI mode, whereafter applications then ACQUIRE individual variables in the analytic workspace for read-write access. Once an object has been acquired (and locked by the Oracle multidimensional engine), updates can then consume dwelling and the application can execute whatever modifications are necessary. After every lone changes gain been made, the UPDATE command is issued against the variable, followed by a COMMIT, and then a RELEASE command is issued against the variable to execute it available for other applications to write to. It'll breathe enthralling to observe how the multidimensional engine handles multi-write access; in the past with Express databases could balloon in size when one user had read-write access to a database, and others were accessing it in read mode, as Express had to clone the database for each user to ensure that they had a consistent view of the data. I wouldn't breathe surprised if individual variables were copied out of a 10g analytic workspace into a temporary workspace while updates happened, with updates being propagated back (as with the venerable Express exceed Add-In) when the changes are finally COMMITted -- the key thing here is how database size is dealt with as the venerable Express passage of doing it was less than optimal.

    Aggregation has been improved with Oracle10g OLAP, with formulas now allowed as sources of data for the AGGREGATE command, eliminating the necessity to reckon and store data at the detail level. Aggregation, particularly dynamic aggregation, is another region where Oracle9i and now 10g OLAP are a distinct improvement over Express and it's well worth looking at this region in more detail if this is an issue with an existing Express system.

    More details on Oracle10g OLAP's modern features can breathe establish in the OLAP Application Developer's Guide, the OLAP DML Reference and a white paper by Bud Endress, "OLAP Option to the Oracle10g Database."

      4. The Tune MView Advisor and improvements to Query Rewrite[ revert to Table of Contents ]

    Query Rewrite (the aptitude for Oracle to transparently redirect queries from detail level to summary tables) is one of the best data warehousing features in Oracle8i and 9i, but it's sometimes a bit temperamental and you can often find that queries don't actually accept rewritten. Sometimes this is because you've broken one of the Query Rewrite restrictions, sometimes it's because your materialized view doesn't accommodate the redress columns and aggregates. Oracle 10g has a number of improvements to Query Rewrite and the materialized view tuning process that should execute this process a bit more productive. With Oracle Database 10g, query rewrite is now possible when your SELECT statement contains analytic functions, replete outer joins and set operations such as UNION, MINUS and INTERSECT. In addition, you can now utilize a hint, /*+ REWRITE_OR_ERROR */, which will stop the execution of a SQL statement if query rewrite cannot occur.

    SQL> SELECT /*+ REWRITE_OR_ERROR */ 2 s.prod_id, 3 sum(s.quantity_sold) 4 FROM sales s 5 GROUP BY s.prod_id; FROM sales s * mistake at line 4: ORA-30393: a query block in the statement did not rewrite

    Oracle9i came with two packages, DBMS_MVIEW.EXPLAIN_MVIEW and DBMS_MVIEW.EXPLAIN_REWRITE that could breathe used to diagnose why a materialized view wasn't being used for query rewrite. However, although these packages told you why rewrite hadn't happened, they left it down to you to travail out how to alter your CREATE MATERIALIZED VIEW statement to ensure that rewrite happened correctly. Oracle Database 10g comes with a modern advisor package, DBMS_ADVISOR.TUNE_MVIEW, that takes as its input a CREATE MATERIALIZED VIEW DML statement, and outputs a corrected version that supports query rewrite and features such as speedily refresh.

    More details on Query Rewrite improvements and the Tune MView Adviser can breathe establish in the TUNE_MVIEW online documentation, the Query Rewrite online documents and this Oracle Database 10g Oracle-by-Example tutorial.

      5. Data Pump: The replacement for import and export[ revert to Table of Contents ]

    Data Pump is a replacement for the venerable IMP and EXP applications used for creating analytic backups of Oracle tables, schemas or databases. Data Pump is a server application (as opposed to IMP and EXP, which were client applications), which in beta testing was twice as speedily as the venerable EXP for exporting data, and 10 times as speedily as the venerable IMP for importing data. Data Pump is callable either through the DBMS_DATAPUMP package, through the replacements for IMP and EXP, known as IMPDB and EXPDB, or through a wizard delivered as fraction of Oracle Enterprise Manager 10g.

    Data Pump (and the modern IMPDB and EXPDB applications) offers a number of improvements over the venerable IMPORT and EXPORT, including resumable/restartable jobs, automatic two-level parallelism, a network mode that uses DBLINKs/listener service names instead of pipes, fine-grained object selection (so you can select individual tables, view, packages, indexes and so on for import or export, not just tables or schemas as with IMPORT and EXPORT), and a fully callable API that allows Data Pump functionality to breathe embedded in third-party ETL packages.

    More details on Data Pump can breathe establish in this OracleWorld white paper by George Claborn, "Data Pump in Oracle Database 10g: Foundation for ultra-high-speed data movement utilities,", OTN's online documentation and this Oracle-by-example tutorial.

      6. Improvements to storage management[ revert to Table of Contents ]

    Automatic Storage Management (ASM) is one of the 'cool modern features' in Oracle10g that is meant to reduce the workload for Oracle DBAs. ASM completely automates the process of creating analytic volumes, file systems and filenames, with the DBA only specifying the location of raw disks and ASM doing the rest. Disk I/O is managed by evenly distributing the data across blocks within a disk group, with ASM in addition handling disk mirroring and the creation of mirror groups and failure groups.

    ASM deals with the problems caused by rapidly expanding data warehouses, where administators can no longer deal with the sheer number of disk units, nodes and analytic groupings, and is a key feature of the Oracle 10g Grid Architecture, which aims to 'virtualize' computing power and present database features dote processing and storage as utilities that effectively manage themselves.

    More details on Automatic Storage Management can breathe establish in this OTN article by Lannes Morris-Murphy, this Oracle-by-example tutorial (which comes with a number of demonstration viewlets) and OTN's online documentation.

      7. Faster replete table scans[ revert to Table of Contents ]

    Full table scans are common in data warehousing environments, and with this in mind, table scan performance has been improved in Oracle10g. Code optimization in Oracle Database 10g has decreased CPU consumption and this leads to faster table scan execution (when queries are CPU bound, rather than I/O bound), and gives the potential for greater query concurrency, offering up to 30-40% hasten improvements when comparing CPU-bound queries.

      8. Automatic tuning and maintenance[ revert to Table of Contents ]

    Automatic maintenance and tuning has always been one of the key product differentiators for Microsoft SQL Server and with Oracle10g, features that meet and match those establish in competitor products are being introduced to the server technology stack.

    Surveys present that over 50% of a DBAs time is spend tuning and monitoring the database server, a task that while well-known is often intricate and difficult to accept exactly right. With Oracle Database 10g, Oracle has introduced a number of components that together execute it possible for the database server to monitor itself, execute knowing changes to configuration, and alert DBAs when situations arise that necessity manual intervention.

    The first component in this framework is the Automatic Workload Repository, which uses an enhanced version of Statspack to collect instance statistics every 30 minutes and stores these for a rolling seven day period. This enhanced version of Statspack now collects a broader compass of statistics and has a number of optimizations to streamline the passage high-cost SQL statements are captured, ensuring that only SQL activity that has significantly affected performance since the eventual snapshot are collected. The usage information stored in the Automatic Workload Repository is then used as the basis for every lone the self-management functionality in Oracle Database 10g.

    Next up is the Automatic Maintenance Tasks feature, which acts on the statistics gathered by the Automatic Workload Repository, and carries out tasks such as index rebuilding, refreshing statistics and so on, where such tasks don't require any manual intervention by the DBA. A modern scheduling feature known as Unified Scheduler runs these tasks during a predefined maintenance window, set by default to breathe between 10:00 pm and 6:00 am the next day, although these times can breathe customized to reduce repercussion on other tasks (such as batch loads) that might breathe taking place.

    The third component of the self-managing framework is Server Generated Alerts, a method where the database server sends notifications via e-mail to the DBA -- including a recommendation as to how best to deal with the situation. Alerts will normally breathe raised where the database itself cannot deal with the situation that has arisen, such as when there is insufficient space on a disk unit to extend a datafile.

    Lastly, and perhaps the most exiting of every lone the self-managing component frameworks, is the Automatic Database Diagnostic Monitor. This component analyzes the data captured in the Automatic Workload Repository and uses an synthetic intelligence algorithm, similar to that establish in Oracle Expert, to resolve areas such as lock contention, CPU bottlenecks, I/O usage and contention, issues with checkpointing and so on, in much the selfsame passage that a DBA would currently outcome by analyzing statspack reports.

    More details on the self-tuning and maintenance features in Oracle 10g can breathe establish in this OracleWorld white paper, "Oracle Database 10g: The self-managing database," by Sushil Kumar.

      9. Asynchronous Change Data Capture[ revert to Table of Contents ]

    Oracle Change Data Capture was introduced with Oracle9i, and provided the aptitude to track changes to tables and store them in a change table, for further consumption by an ETL process. Oracle9i Change Data Capture worked by creating triggers on the source tables, transferring data synchronously but creating a processing overhead and requiring access to the structure of the source tables. Because of the outcome that the triggers had on the underlying tables, many warehouse projects did without change data capture and used other methods to capture changes.

    Oracle10g introduces Asynchronous Change Data Capture, which instead of using triggers uses the database log files to capture changes and apply them to collection tables. Asynchronous Change Data Capture therefore doesn't require changes to the table structure and doesn't repercussion on database performance.

    More details on Asynchronous Change Data Capture can breathe establish in this OTN white paper, "On-time data warehousing with Oracle 10g -- Information at the hasten of your business," which moreover details improvements to the transportable tablespaces feature in Oracle Database 10g (tablespaces no longer necessity to breathe sourced from the selfsame O/S platform).

      10. Improvements to Oracle data mining[ revert to Table of Contents ]

    Alongside the inclusion of the Oracle Express multidimensional OLAP engine, Oracle9i moreover embedded data mining functionality in the database together, and this data mining functionality has been enhanced with Oracle Database 10g. Oracle Database 10g adds advocate for two modern classification routines, advocate Vector Machine (used for top-down rather than a bottom-up calculations, assuming the best possible fitting and then working backwards to what can breathe achieved) and Non-Negative Matrix Factorisation, together with advocate for Frequent Itemsets, used for such functions as market basket analysis and propensity analysis.

    More details on what's modern with Oracle10g Data Mining can breathe establish in the OTN online documentation.

    About the author:Mark Rittman works for Plus Consultancy, an Oracle confederate specializing in business intelligence and data warehousing solutions, based in Brighton, England. He manages their data warehousing rehearse and spends most time designing and pile BI&W systems based on the Oracle9i platform. Away from Plus, he's moreover the chair of the UKOUG business Intelligence & Reporting Tools SIG, working as a liason between the Oracle BI tools community and Oracle. Check out Mark's Web site at

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    Upgrading DBMS Versions and Releases | true questions and Pass4sure dumps

    This chapter is from the reserve 

    Change is a fact of life, and each of the major DBMS products changes quite rapidly. A typical release cycle for DBMS software is 18 to 24 months for major releases, with constant bug fixes and maintenance updates delivered between major releases. Indeed, keeping DBMS software up-to-date can breathe a full-time job.

    The DBA must develop an approach to upgrading DBMS software that conforms to the organization’s needs and minimizes business disruptions due to outages and database unavailability.

    You may gain noticed that I utilize the terms version and release a little interchangeably. That is fine for a broad discussion of DBMS upgrades, but a more precise definition is warranted. For a better discussion of the differences between a version and a release, please advert to the sidebar.

    A DBMS version upgrade can breathe thought of as a special case of a modern installation. every lone the procedures required of a modern installation apply to an upgrade: You must aim for confiscate resources, reconsider every lone system parameters, and ensure that every lone supporting software is appropriately connected. However, another staid issue must breathe planned for: existing users and applications. An upgrade needs to breathe planned to antecedent as limited disruption to the existing users as possible. Furthermore, any additional software that works with the DBMS (such as purchased applications, DBA tools, utilities, and so on) must breathe verified to breathe compatible with the modern DBMS version. Therefore, upgrading can breathe a tricky and difficult task.

    In a complex, heterogeneous, distributed database environment, a coherent upgrade strategy is essential. Truthfully, even organizations with only a lone DBMS should approach DBMS upgrades cautiously and aim accordingly. Failure to aim a DBMS upgrade can result in unseemly and inefficient adoption of modern features, performance degradation of modern and existing applications, and downtime.

    Upgrading to a modern DBMS release offers both rewards and risks. The following are some of the benefits of lamentable to a modern release:

  • Developers can avail themselves of modern features and functionality delivered only in the modern release. If progress requires a modern feature, or can simply profit from a modern feature, program progress time can breathe reduced or made more cost-effective.
  • For purchased applications, the application vendor may require a specific DBMS version or release for specific versions of its application to enable specific functionality within the application.
  • New DBMS releases usually deliver enhanced performance and availability features that can optimize existing applications. Sometimes a modern DBMS release is required to scale applications to advocate additional users or larger amounts of data.
  • DBMS vendors often provide better advocate and respond to problems faster for a modern release of their software. DBMS vendors are loath to allow depraved publicity about bugs in a modern and heavily promoted version of their products.
  • Cost savings may accrue by upgrading to a modern DBMS release. Some vendors saturate additionally when a company uses multiple versions of a DBMS, such as the modern version in a test environment and the venerable in production. When both are migrated to the selfsame version, the expense tag for the DBMS sometimes can breathe reduced.
  • Production migration to a modern DBMS release will align the test and production database environments, thereby providing a consistent environment for progress and implementation. If a modern release is running in the test environment for too long, database administration and application progress tasks become more difficult because the test databases will operate differently from the production databases.
  • However, an effective DBMS upgrade strategy must equipoise the benefits against the risks of upgrading to arrive at the best timeline for migrating to a modern DBMS version or release. The risks of upgrading to a modern DBMS release include the following:

  • An upgrade to the DBMS usually involves some level of disruption to business operations. At a minimum, databases will not breathe available while the DBMS is being upgraded. This can result in downtime and lost business opportunities if the DBMS upgrade occurs during generic business hours (or if there is no planned downtime). Clustered database implementations may permit some database availability while individual database clusters are migrated to the modern DBMS version.
  • Other disruptions can occur, such as having to metamorphose database structures or discovering that previously supported features were removed from the modern release (thereby causing application errors). Delays to application implementation timelines are another possibility.
  • The cost of an upgrade can breathe a significant barrier to DBMS release migration. First, the cost of the modern version or release must breathe budgeted for (price increases for a modern DBMS version can amount to as much as 10 to 25 percent). The upgrade cost must moreover factor in the costs of planning, installing, testing, and deploying not just the DBMS but moreover any applications that utilize databases. Finally, breathe confident to include the cost of any modern resources (such as memory, storage, additional CPUs) required to utilize the modern features delivered by the modern DBMS version.6
  • DBMS vendors usually tout the performance gains that can breathe achieved with a modern release. However, when SQL optimization techniques change, it is possible that a modern DBMS release will generate SQL access paths that discharge worse than before. DBAs must implement a rigorous testing process to ensure that modern access paths are helping, not harming, application performance. When performance suffers, application code may necessity to breathe changed—a very costly and time-consuming endeavor. A rigorous test process should breathe able to trap most of the access path changes in the test environment.
  • New DBMS releases may antecedent features and syntax that are being used in existing applications to breathe deprecated.7 When this occurs, the applications must breathe modified before migration to the modern release can proceed.
  • To consume edge of improvements implemented in a modern DBMS release, the DBA may gain to apply some invasive changes. For example, if the modern version increases the maximum size for a database object, the DBA may gain to drop and recreate that object to consume edge of the modern maximum. This will breathe the case when the DBMS adds internal control structures to facilitate such changes.
  • Supporting software products may necessity immediate advocate for a modern DBMS release. Supporting software includes the operating system, transaction processors, message queues, purchased applications, DBA tools, progress tools, and query and reporting software.
  • After weighing the benefits of upgrading against the risks of a modern DBMS release, the DBA group must create an upgrade aim that works for the organization. Sometimes the conclusion will breathe to upgrade immediately upon availability, but often there is a lag between the generic availability of a modern release and its widespread adoption.

    When the risks of a modern release outweigh the benefits, some organizations may determine to skip an interim release if doing so does not repercussion a future upgrade. For example, a fine number of Oracle customers migrated directly from Oracle7 to Oracle8i, skipping Oracle8. If the DBMS vendor does not allow users to bypass a version or release, it is silent possible to “skip” a release by waiting to implement that release until the next release is available. For example, consider the following scenario:

  • ABC Corporation is using DB Version 8 from DBCorp.
  • DBCorp announces Version 9 of DB.
  • ABC Corporation analyzes the features and risks and determines not to upgrade immediately.
  • DBCorp later announces DB Version 10 and that no direct migration path will breathe provided from Version 8 to Version 10.
  • ABC Corporation decides that DB Version 10 provides many useful features and wants to upgrade its current Version 8 implementation of DB. However, it has no compelling understanding to first implement and utilize Version 9.
  • To fulfill its requirements, ABC Corporation first upgrades Version 8 to Version 9 and then immediately upgrades Version 9 to Version 10.
  • Although a multiple-release upgrade takes more time, it allows customers to effectively control when and how they will migrate to modern releases of a DBMS instead of being held hostage by the DBMS vendor. When attempting a multiple-release upgrade of this type, breathe confident to fully understand the features and functionality added by the DBMS vendor for each interim release. In the case of the hypothetical ABC Corporation, the DBAs would necessity to research and prepare for the modern features of not just Version 10 but moreover Version 9.

    An confiscate DBMS upgrade strategy depends on many things. The following sections outline the issues that must breathe factored into an effective DBMS release upgrade strategy.

    Features and Complexity

    Perhaps the biggest factor in determining when and how to upgrade to a modern DBMS release is the functionality supported by the modern release. Tightly coupled to functionality is the inherent complexity involved in supporting and administering modern features.

    It is more difficult to detain an upgrade if application developers are clamoring for modern DBMS features. If DBMS functionality can minimize the cost and ail of application development, the DBA group will feel pressure to migrate swiftly to the modern release. An additional factor that will coerce rapid adoption of a modern release is when DBMS problems are fixed in the modern release (instead of through regular maintenance fixes).

    Regardless of a modern release’s “bells and whistles,” confident administration and implementation details must breathe addressed before upgrading. The DBA group must ensure that standards are modified to include the modern features, educate developers and users as to how modern features travail and should breathe used, and prepare the infrastructure to advocate the modern DBMS functionality.

    The types of changes required to advocate the modern functionality must breathe factored into the upgrade strategy. When the DBMS vendor makes changes to internal structures, data page layouts, or address spaces, the risks of upgrading are greater. Additional testing is warranted in these situations to ensure that database utilities, DBA tools, and data extraction and movement tools silent travail with the revised internal structures.

    Complexity of the DBMS Environment

    The more intricate your database environment is, the more difficult it will breathe to upgrade to a modern DBMS release. The first complexity issue is the size of the environment. The greater the number of database servers, instances, applications, and users, the greater the complexity. Additional concerns include the types of applications being supported. A DBMS upgrade is easier to implement if only simple, batch-oriented applications are involved. As the complexity and availability requirements of the applications increase, the hardship of upgrading moreover increases.

    Location of the database servers moreover affects the release upgrade strategy. Effectively planning and deploying a DBMS upgrade across multiple database servers at various locations supporting different lines of business is difficult. It is likely that an upgrade strategy will involve periods of supporting multiple versions of the DBMS at different locations and for different applications. Supporting different versions in production should breathe avoided, but that is not always possible.

    Finally, the complexity of the applications that access your databases must breathe considered. The more intricate your applications are, the more difficult it will breathe to ensure their continuing uninterrupted functionality when the DBMS is modified. Complexity issues include the following:

  • Usage of stored procedures and user-defined functions.
  • Complexity of the SQL—the more tables involved in the SQL and the more intricate the SQL features, the more difficult it becomes to ensure that access path changes outcome not repercussion performance.
  • Client/server processing—network usage and usage of multiple tiers complicates testing the modern DBMS release.
  • Applications that are designed, coded, and generated by a framework or an IDE (for example, Hibernate) may gain additional components that necessity to breathe tested with a modern DBMS release.
  • Integration with other infrastructure software such as message queues and transaction processors can complicate migration because modern versions of these products may breathe required to advocate the modern DBMS release.
  • The language used by the programs might moreover repercussion DBMS release migration due to different advocate for compiler versions, changes to APIs (application programming interfaces), or modern ways of embedding SQL into application programs.
  • Reputation of the DBMS Vendor

    DBMS vendors gain different reputations for technical support, fixing bugs, and responding to problems, which is why customer references are so well-known when choosing a database.

    The better the reputation of the vendor, the greater the likelihood of organizations rapidly adopting a modern release. If the DBMS vendor is fine at responding to problems and supporting its customers as they migrate to modern releases, those customers will more actively engage in migration activities.

    Support Policies of the DBMS

    As modern releases are introduced, DBMS vendors will retire older releases and no longer advocate them. The length of time that the DBMS vendor will advocate an venerable release must breathe factored into the DBMS release migration strategy. You should never sprint a DBMS release in production that is no longer supported by the vendor. If problems occur, the DBMS vendor will not breathe able to resolve them for you.

    Sometimes a DBMS vendor will provide advocate for a retired release on a special basis and at an increased maintenance charge. If you absolutely must continue using a retired DBMS release (for business or application issues), breathe confident to investigate the DBMS vendor’s policies regarding advocate for retired releases of its software.

    Organization Style

    Every organization displays characteristics that disclose its style when it comes to adopting modern products and technologies. Industry analysts at Gartner, Inc., gain ranked organizations into three distinct groups labeled types A, B, and C. A type-A enterprise is technology driven and, as such, is more likely to risk using modern and unproven technologies to try to gain a competitive advantage. A type-B organization is less willing to consume risks but will adopt modern technologies once others gain shaken out the bugs. Finally, a type-C enterprise, very conscious of cost and averse to risk, will lag behind the majority when it comes to migrating to modern technology.

    Only type-A organizations should aim on lamentable aggressively to modern DBMS releases immediately upon availability and only if the modern features of the release will deliver advantages to the company. Type-C enterprises should adopt a very conservative strategy to ensure that the DBMS release is stable and well tested by type-A and type-B companies first. Type-B organizations will descend somewhere between types A and C: Almost never upgrading immediately, the type-B company will adopt the modern release after the earliest users gain shaken out the biggest problems, but well before type-C enterprises.

    DBA Staff Skill Set

    Upgrading the DBMS is easier if your DBA staff is highly skilled and/or experienced. The risk of an upgrade increases as the skills of the DBA staff decrease. If your DBAs are not highly skilled, or gain never migrated a DBMS to a modern release, consider augmenting your DBA staff with consultants for the upgrade. Deploying an integrated team of internal DBAs and consultants will ensure that your upgrade goes as smoothly as possible. Furthermore, the DBA staff will breathe better prepared to ply the future upgrades alone.

    If consultants will breathe required, breathe confident to include their contracting cost in the DBMS release upgrade budget. The budget should allow you to retain the consultants until every lone production database environments are stable.

    Platform Support

    When a DBMS vendor unleashes a modern release of its product, not every lone platforms and operating systems are immediately supported. The DBMS vendor usually first supports the platforms and operating systems for which it has the most licensed customers. The order in which platforms are supported for a modern release is likely to disagree for each DBMS vendor. For example, Linux for System z is more strategic to IBM than to Oracle, so a modern DB2 release will most likely advocate Linux for System z very quickly, whereas this may not breathe righteous of Oracle. The issue is even thornier for UNIX platforms because of the sheer number of UNIX variants in the marketplace. The most favorite variants are Oracle’s Solaris, IBM’s AIX, Hewlett-Packard’s HP-UX, and Linux, the open-source version of UNIX (the Red Hat and Suse distributions are supported more frequently and rapidly than others). Most DBMS vendors will advocate these UNIX platforms quickly upon generic availability. Other less favorite varieties of UNIX will consume longer for the DBMS vendors to support.

    When planning your DBMS upgrade, breathe confident to consider the DBMS platforms you utilize and try to gauge the priority of your platform to your vendor. breathe confident to build some lag time into your release migration strategy to accommodate the vendor’s delivery schedule for your specific platforms.

    Supporting Software

    Carefully consider the repercussion of a DBMS upgrade on any supporting software. Supporting software includes purchased applications, DBA tools, reporting and analysis tools, and query tools. Each software vendor will gain a different time frame for supporting and exploiting a modern DBMS release. Review the sidebar to understand the contrast between advocate and exploitation of a modern DBMS release.

    Some third-party instrument vendors result guidelines for supporting and exploiting modern DBMS releases. Whenever possible, request your vendors to condition their policies for DBMS upgrade support. Your vendors will probably not relegate to any solid date or date compass to advocate modern versions and releases—some DBMS versions are larger and more complicated and therefore consume longer to fully exploit.

    Fallback Planning

    Each modern DBMS version or release should approach with a manual that outlines the modern features of the release and describes the fallback procedures to revert to a prior release of the DBMS. breathe confident to review the fallback procedures provided by the DBMS vendor in its release guide. You may necessity to revert to a previous DBMS release if the upgrade contains a bug, performance problems ensue, or other problems arise during or immediately after migration. retain in intellect that fallback is not always an option for every modern DBMS release.

    If fallback is possible, result the DBMS vendor’s recommended procedures to enable it. You may necessity to detain the implementation of confident modern features for fallback to remain an option. Understand fully the limitations imposed by the DBMS vendor on fallback, and exploit modern features only when fallback is no longer an option for your organization.

    Migration Verification

    The DBA should implement procedures—similar to those for a modern installation—to verify that the DBMS release upgrade is satisfactory. discharge the selfsame steps as with a brand-new DBMS install, but moreover test a representative sampling of your in-house applications to verify that the DBMS upgrade is working correctly and performing satisfactorily.

    The DBMS Upgrade Strategy

    In general, design your DBMS release upgrade policy according to the guidelines discussed in the preceding sections. Each specific DBMS upgrade will breathe unique, but the strategies we’ve discussed will aid you to achieve success more readily. A well-thought-out DBMS upgrade strategy will prepare you to advocate modern DBMS releases with minimum repercussion on your organization and in a style best suited to your company.

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