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Oracle Oracle Database 10g: New

Oracle launches newfangled HPC situations with Intel Xeon and Mellanox community controllers | killexams.com actual Questions and Pass4sure dumps

At Oracle’s annual Oracle Open World apex in San Francisco ultimate month, the Redwood Shores enterprise published colossal enhancements to Oracle Cloud Infrastructure (OCI), its bare steel compute provider for firms. Following on the heels of these bulletins, it nowadays launched newfangled OCI technology 2 cases it described as tailored for “efficiency-delicate” excessive performance compute (HPC) workloads corresponding to machine getting to know and engineering simulations.

They’re powered by using Intel’s Xeon processor lineup and Mellanox’s high-performance network interface controllers, and they slot below Oracle’s newfangled clustered community providing, which makes attainable to valued clientele low-latency, high-bandwidth RDMA networks with direct reminiscence access to desktop memory.

“in the past three years, Oracle has made large development in developing and improving high performance bare-metal offerings capable of featuring on-premise shoppers with the options they need to circulate their HPC workloads to the cloud,” Clay Magouyrk, senior vice president of Oracle Cloud Infrastructure, spoke of. “Our turning out to breathe collaboration with trade-main organizations helps invent confident that Oracle Cloud Infrastructure continues to expand and tender the most advantageous efficiency on the lowest suffuse for the workloads that consumers really need the cloud for.”

With clustered community setups, Oracle defined, consumers can avoid workloads fancy DNA sequencing, motor vehicle crash simulations, oil reservoir explorations, and greater in the cloud can charge-successfully. in the event that they’re already using Oracle Database, it’s a plug-and-play affair; cloud-kept datasets feed seamlessly into clustered network storage, the set they will also breathe used to coach simulated intelligence (AI) models running on processors, high-conclusion photographs cards, or a bespoke combination of silicon.

“With this newfangled providing,” Oracle wrote, “[we] now offers giant organizations with a complete set of options for any HPC workload, enabling corporations to capitalize on the advantages of simultaneous cloud computing while enjoying performance similar to on-premises compute clusters at a expense that makes feel for his or her business.”

the brand new Oracle Cloud Infrastructure situations breathe fragment of two others introduced in October.

Early closing month, Oracle debuted assist for Nvidia’s HGX-2 platform, which sandwiches collectively 16 interconnected Nvidia Tesla V100 GPUs (with 0.5TB of reminiscence) for a combined two petaflops of computing power. GPU-accelerated abysmal getting to know and HTPC containers in Oracle Cloud Infrastructure are available from the Nvidia GPU Cloud container registry, which certainly helps Nvidia’s open supply RAPIDS end-to-end statistics science pipeline.

extra lately, Oracle and AMD collectively unveiled the first AMD Epyc processor-based mostly situations on Oracle Cloud Infrastructure. Oracle claims that the Compute tolerable E2 platform, which is frequently accessible in bare steel and one, two, 4, and eight-core virtual machine shapes, is essentially the most cost efficacious example (3 cents per core hour) attainable on any public cloud.

one after the other, the brand newfangled situations leverage Oracle Cloud Infrastructure Gen 2’s highlight features, including safety enhancements, an more advantageous autonomous database, and newfangled integrated experiences for Oracle Cloud marketplace, Oracle’s on-line store for Oracle Cloud enterprise apps and expert capabilities.

just a few include a newfangled Key management carrier (KMS) that affords admins enhanced wield over records encryption, plus a Cloud entry safety broker (CASB) that screens and enforces cozy configurations; allotted denial of provider (DDoS) shielding; and a web utility Firewall (WAF) designed to tender protection to towards attacks on the web. additionally in tow (in preview) is Oracle independent Transaction Processing, an self reliant database cloud carrier that allows for teams to set up and manipulate tasks in discrete cloud-like environments on Oracle Cloud.

by means of the conclusion of 2019, Oracle Cloud Infrastructure will expand to information centers in Toronto, Chicago, Sao Paulo, Zurich, heart East, Mumbai, Seoul, Tokyo, and Osaka, the business published at Oracle Open World, up from the four areas in which it’s obtainable currently.

In September, Oracle reported $6.sixty one billion in income from its cloud features and license profit section, up three.2 p.c from the prior year. The business, citing analysis from Deloitte, expects valued clientele to spend greater than $fifty seven.6 billion on computer discovering by means of 2021, up from $12 billion in 2017.


Oracle Database 10g newfangled features (Chapter 1) | killexams.com actual Questions and Pass4sure dumps

a fragment of the Osborne Oracle Press series, "Oracle Database 10g newfangled points," written with the aid of Robert Freeman, presents a useful overview of utter the slicing-facet facets of Oracle's newest database liberate, Oracle Database 10g. comprises skilled commentary throughout from world-famous Oracle guru Jonathan Lewis. this is an incredible resource for determination-makers and IT workforce making ready for improvements or migration.

Chapter 1, "Getting begun," is the locality to delivery for your distress to study utter about Oracle Database 10g. This chapter will first appear to breathe at the "grid" and clarify what or not it's utter about. Then it strikes on to interpret how to ameliorate to Oracle Database 10g. confident topic matters covered consist of the "grid," upgrading to 10g, the SYSAUX tablespace and computerized Storage management (ASM).

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New Database protection evaluation instrument from Oracle | killexams.com actual Questions and Pass4sure dumps

Feb 2, 2018

Oracle has announced the Oracle Database security evaluation instrument (DBSAT) to assist businesses investigate the protection configuration of their databases, identify elegant information, and evaluate database users for possibility publicity.  

the newfangled instrument become defined in a weblog set up by means of Vipin Samar, senior vp, Oracle.

“DBSAT is a simple, light-weight, and free device that helps Oracle customers birthright away investigate their databases,” he writes.  “Designed for spend by utter Oracle database customers in wee or tremendous companies, DBSAT has no dependency on other tools or infrastructure and desires no special abilities.  DBAs can download DBSAT and entangle actionable stories in as exiguous as 10 minutes.”

 based on Samar, based upon decades of Oracle’s territory journey in securing databases against common threats, DBSAT looks at a considerable number of configuration parameters, identifies gaps, discovers lacking protection patches, and suggests remediation. It also checks no matter if security measures similar to encryption, auditing, and access wield are deployed, and how they examine against most beneficial practices.  past that, it also evaluates user accounts, roles, and linked safety guidelines, selecting who can access the database, whether they occupy got extremely elegant privileges, and how those clients should still breathe secured.

at last, pointed out Samar, “DBSAT searches your database metadata for greater than 50 kinds of sensitive data together with individually identifiable suggestions, job information, fitness records, monetary data, and suggestions technology records. which you can additionally customize the hunt patterns to quest sensitive facts specific to your hard or trade.  DBSAT helps you no longer only find how much sensitive statistics you have, but also which schemas and tables occupy them.”

DBSAT additionally helps supply strategies to back with compliance with regulations involving records administration such because the European Union universal records insurance policy legislation (european GDPR) that calls for occupy an impact on assessments and other superior privateness protections.  DBSAT can highlight findings which are applicable to eu GDPR and the middle for cyber web protection benchmark.

To read the weblog submit, travel birthright here.




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: 200 actual Questions

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Oracle Database 10g: newfangled Features for Oracle8i OCPs

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Top 10 newfangled data warehousing features in Oracle Database 10g | killexams.com actual questions and Pass4sure dumps

Mark Rittman

Mark Rittman is a SearchOracle.com 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 www.rittman.net/.

Plus Consultancy's expense Rittman shares what he believes are the top 10 newfangled data warehousing features in Oracle Database 10g. spend 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 newfangled 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 artery that was previously the domain of dedicated multidimensional OLAP servers such as Oracle Express and Oracle9i OLAP. The SQL Model clause brings an entirely newfangled dimension to Oracle analytical queries and addresses a number of traditional shortcomings with the artery SQL normally works.

The SQL Model clause has been designed to address the sort of situation where, in the past, clients occupy 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 chain of macros that aggregate data over a number of business dimensions, over varying time periods, and following a set of tangled business rules that would breathe difficult to express as traditional SQL. I've worked on many a client rendezvous where the limitations of SQL meant that a number of standalone surpass 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 lack of overall control often became obvious after a while.

The direct of the SQL Model clause is to give traditional SQL statements the aptitude to create a multidimensional array from the results of a traditional SELECT statement, carry out any number of interdependent inter-row and inter-array calculations on this array, and then update the ground tables with the results of the model. An example SQL statement using the MODEL clause would notice 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 organize in "The newfangled Oracle10g SQL Model Clause", the OracleWorld white paper "SQL Model clause of Oracle Database 10g", the OTN article "Announcing the newfangled 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 newfangled 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 organize in this OracleWorld white paper, ""Turbocharge your database: spend 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 artery large 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 fancy any other Oracle table, allowing you to set 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 artery 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 travel 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 sweep 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 divorce physical object, which can breathe directed to divorce 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 finish utter the hard travail in the background.

Another excellent newfangled feature, and a actual improvement over what was available with Express, is back 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 entire sweep 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 occupy set and the application can invent whatever modifications are necessary. After utter changes occupy 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 invent it available for other applications to write to. It'll breathe titillating to espy 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 brokendown Express surpass Add-In) when the changes are finally COMMITted -- the key thing here is how database size is dealt with as the brokendown Express artery 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 need to motif and store data at the detail level. Aggregation, particularly dynamic aggregation, is another locality where Oracle9i and now 10g OLAP are a divorce improvement over Express and it's well worth looking at this locality in more detail if this is an issue with an existing Express system.

More details on Oracle10g OLAP's newfangled features can breathe organize 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 plane 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 entangle 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 remedy columns and aggregates. Oracle 10g has a number of improvements to Query Rewrite and the materialized view tuning process that should invent this process a bit more productive. With Oracle Database 10g, query rewrite is now workable when your SELECT statement contains analytic functions, replete outer joins and set operations such as UNION, MINUS and INTERSECT. In addition, you can now spend a hint, /*+ REWRITE_OR_ERROR */, which will halt 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 cache 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 newfangled 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 quick refresh.

More details on Query Rewrite improvements and the Tune MView Adviser can breathe organize 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 quick as the brokendown EXP for exporting data, and 10 times as quick as the brokendown 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 fragment of Oracle Enterprise Manager 10g.

Data Pump (and the newfangled IMPDB and EXPDB applications) offers a number of improvements over the brokendown 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 organize 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 newfangled 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 fancy processing and storage as utilities that effectively manage themselves.

More details on Automatic Storage Management can breathe organize 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% quicken 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 organize in competitor products are being introduced to the server technology stack.

Surveys expose that over 50% of a DBAs time is spend tuning and monitoring the database server, a assignment that while well-known is often tangled and difficult to entangle exactly right. With Oracle Database 10g, Oracle has introduced a number of components that together invent it workable for the database server to monitor itself, invent smart changes to configuration, and alert DBAs when situations arise that need 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 sweep of statistics and has a number of optimizations to streamline the artery high-cost SQL statements are captured, ensuring that only SQL activity that has significantly affected performance since the final snapshot are collected. The usage information stored in the Automatic Workload Repository is then used as the basis for utter 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 newfangled 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 impact 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 routine 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 utter 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 simulated intelligence algorithm, similar to that organize in Oracle Expert, to analyze areas such as lock contention, CPU bottlenecks, I/O usage and contention, issues with checkpointing and so on, in much the identical artery that a DBA would currently finish by analyzing statspack reports.

More details on the self-tuning and maintenance features in Oracle 10g can breathe organize 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 impact on database performance.

More details on Asynchronous Change Data Capture can breathe organize in this OTN white paper, "On-time data warehousing with Oracle 10g -- Information at the quicken of your business," which also details improvements to the transportable tablespaces feature in Oracle Database 10g (tablespaces no longer need to breathe sourced from the identical 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 also embedded data mining functionality in the database together, and this data mining functionality has been enhanced with Oracle Database 10g. Oracle Database 10g adds back for two newfangled classification routines, back Vector Machine (used for top-down rather than a bottom-up calculations, assuming the best workable suitable and then working backwards to what can breathe achieved) and Non-Negative Matrix Factorisation, together with back for Frequent Itemsets, used for such functions as market basket analysis and propensity analysis.

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

About the author:Mark Rittman works for Plus Consultancy, an Oracle partner specializing in business intelligence and data warehousing solutions, based in Brighton, England. He manages their data warehousing rehearse and spends most time designing and building BI&W systems based on the Oracle9i platform. Away from Plus, he's also 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 www.rittman.net.


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This chapter is from the engage 

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 occupy noticed that I spend the terms version and release rather 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, delight advert to the sidebar.

A DBMS version upgrade can breathe thought of as a special case of a newfangled installation. utter the procedures required of a newfangled installation apply to an upgrade: You must draw for appropriate resources, reconsider utter system parameters, and ensure that utter supporting software is appropriately connected. However, another earnest issue must breathe planned for: existing users and applications. An upgrade needs to breathe planned to cause as exiguous 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 newfangled 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 separate DBMS should approach DBMS upgrades cautiously and draw accordingly. Failure to draw a DBMS upgrade can result in unseemly and inefficient adoption of newfangled features, performance degradation of newfangled and existing applications, and downtime.

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

  • Developers can avail themselves of newfangled features and functionality delivered only in the newfangled release. If development requires a newfangled feature, or can simply profit from a newfangled feature, program development 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 newfangled DBMS release is required to scale applications to back additional users or larger amounts of data.
  • DBMS vendors often provide better back and respond to problems faster for a newfangled release of their software. DBMS vendors are loath to allow faulty publicity about bugs in a newfangled and heavily promoted version of their products.
  • Cost savings may accrue by upgrading to a newfangled DBMS release. Some vendors suffuse additionally when a company uses multiple versions of a DBMS, such as the newfangled version in a test environment and the brokendown in production. When both are migrated to the identical version, the expense tag for the DBMS sometimes can breathe reduced.
  • Production migration to a newfangled DBMS release will align the test and production database environments, thereby providing a consistent environment for development and implementation. If a newfangled release is running in the test environment for too long, database administration and application development tasks become more difficult because the test databases will operate differently from the production databases.
  • However, an efficacious DBMS upgrade strategy must equilibrium the benefits against the risks of upgrading to arrive at the best timeline for migrating to a newfangled DBMS version or release. The risks of upgrading to a newfangled DBMS release include the following:

  • An upgrade to the DBMS usually involves some plane 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 traditional 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 newfangled DBMS version.
  • Other disruptions can occur, such as having to convert database structures or discovering that previously supported features were removed from the newfangled 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 newfangled version or release must breathe budgeted for (price increases for a newfangled DBMS version can amount to as much as 10 to 25 percent). The upgrade cost must also factor in the costs of planning, installing, testing, and deploying not just the DBMS but also any applications that spend databases. Finally, breathe confident to include the cost of any newfangled resources (such as memory, storage, additional CPUs) required to spend the newfangled features delivered by the newfangled DBMS version.6
  • DBMS vendors usually tout the performance gains that can breathe achieved with a newfangled release. However, when SQL optimization techniques change, it is workable that a newfangled DBMS release will generate SQL access paths that accomplish worse than before. DBAs must implement a rigorous testing process to ensure that newfangled access paths are helping, not harming, application performance. When performance suffers, application code may need to breathe changed—a very costly and time-consuming endeavor. A rigorous test process should breathe able to entangle most of the access path changes in the test environment.
  • New DBMS releases may cause 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 newfangled release can proceed.
  • To occupy odds of improvements implemented in a newfangled DBMS release, the DBA may occupy to apply some invasive changes. For example, if the newfangled version increases the maximum size for a database object, the DBA may occupy to drop and recreate that object to occupy odds of the newfangled maximum. This will breathe the case when the DBMS adds internal control structures to facilitate such changes.
  • Supporting software products may lack immediate back for a newfangled DBMS release. Supporting software includes the operating system, transaction processors, message queues, purchased applications, DBA tools, development tools, and query and reporting software.
  • After weighing the benefits of upgrading against the risks of a newfangled DBMS release, the DBA group must create an upgrade draw that works for the organization. Sometimes the conclusion will breathe to upgrade immediately upon availability, but often there is a lag between the general availability of a newfangled release and its widespread adoption.

    When the risks of a newfangled release outweigh the benefits, some organizations may pick to skip an interim release if doing so does not impact a future upgrade. For example, a friendly 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 still workable to “skip” a release by waiting to implement that release until the next release is available. For example, deem 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 judgement to first implement and spend 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 newfangled 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 need to research and prepare for the newfangled features of not just Version 10 but also Version 9.

    An appropriate DBMS upgrade strategy depends on many things. The following sections silhouette the issues that must breathe factored into an efficacious DBMS release upgrade strategy.

    Features and Complexity

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

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

    Regardless of a newfangled 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 newfangled features, educate developers and users as to how newfangled features travail and should breathe used, and prepare the infrastructure to back the newfangled DBMS functionality.

    The types of changes required to back the newfangled 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 still travail with the revised internal structures.

    Complexity of the DBMS Environment

    The more tangled your database environment is, the more difficult it will breathe to upgrade to a newfangled 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 rigor of upgrading also increases.

    Location of the database servers also 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 tangled 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 tangled the SQL features, the more difficult it becomes to ensure that access path changes finish not impact performance.
  • Client/server processing—network usage and usage of multiple tiers complicates testing the newfangled DBMS release.
  • Applications that are designed, coded, and generated by a framework or an IDE (for example, Hibernate) may occupy additional components that need to breathe tested with a newfangled DBMS release.
  • Integration with other infrastructure software such as message queues and transaction processors can complicate migration because newfangled versions of these products may breathe required to back the newfangled DBMS release.
  • The language used by the programs might also impact DBMS release migration due to different back for compiler versions, changes to APIs (application programming interfaces), or newfangled ways of embedding SQL into application programs.
  • Reputation of the DBMS Vendor

    DBMS vendors occupy 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 newfangled release. If the DBMS vendor is friendly at responding to problems and supporting its customers as they migrate to newfangled releases, those customers will more actively engage in migration activities.

    Support Policies of the DBMS

    As newfangled releases are introduced, DBMS vendors will retire older releases and no longer back them. The length of time that the DBMS vendor will back an brokendown release must breathe factored into the DBMS release migration strategy. You should never avoid 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 back 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 back for retired releases of its software.

    Organization Style

    Every organization displays characteristics that disclose its style when it comes to adopting newfangled products and technologies. Industry analysts at Gartner, Inc., occupy ranked organizations into three divorce groups labeled types A, B, and C. A type-A enterprise is technology driven and, as such, is more likely to risk using newfangled and unproven technologies to try to gain a competitive advantage. A type-B organization is less willing to occupy risks but will adopt newfangled technologies once others occupy 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 newfangled technology.

    Only type-A organizations should draw on touching aggressively to newfangled DBMS releases immediately upon availability and only if the newfangled 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 Fall somewhere between types A and C: Almost never upgrading immediately, the type-B company will adopt the newfangled release after the earliest users occupy 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 occupy never migrated a DBMS to a newfangled release, deem 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 wield 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 utter production database environments are stable.

    Platform Support

    When a DBMS vendor unleashes a newfangled release of its product, not utter 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 newfangled release is likely to differ for each DBMS vendor. For example, Linux for System z is more strategic to IBM than to Oracle, so a newfangled DB2 release will most likely back Linux for System z very quickly, whereas this may not breathe moral of Oracle. The issue is even thornier for UNIX platforms because of the sheer number of UNIX variants in the marketplace. The most current 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 back these UNIX platforms quickly upon general availability. Other less current varieties of UNIX will occupy longer for the DBMS vendors to support.

    When planning your DBMS upgrade, breathe confident to deem the DBMS platforms you spend 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 deem the impact 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 occupy a different time frame for supporting and exploiting a newfangled DBMS release. Review the sidebar to understand the inequity between back and exploitation of a newfangled DBMS release.

    Some third-party instrument vendors result guidelines for supporting and exploiting newfangled DBMS releases. Whenever possible, expect your vendors to state their policies for DBMS upgrade support. Your vendors will probably not commit to any hard date or date sweep to back newfangled versions and releases—some DBMS versions are larger and more complicated and therefore occupy longer to fully exploit.

    Fallback Planning

    Each newfangled DBMS version or release should near with a manual that outlines the newfangled 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 need 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. maintain in mind that fallback is not always an option for every newfangled DBMS release.

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

    Migration Verification

    The DBA should implement procedures—similar to those for a newfangled installation—to verify that the DBMS release upgrade is satisfactory. accomplish the identical steps as with a brand-new DBMS install, but also 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 profit you to achieve success more readily. A well-thought-out DBMS upgrade strategy will prepare you to back newfangled DBMS releases with minimum impact on your organization and in a style best suited to your company.



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