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leading golf gadget manufacturer turns over key records administration projects to Oracle, boosting performance and scalability
REDWOOD SHORES, Calif., Feb. eleven, 2019 /PRNewswire/ -- TaylorMade Golf, in its quest for growth after divesting from Adidas, is popping to Oracle autonomous Database to underpin its cloud modernization approach and power innovation. A key capitalize of the brand original Oracle Database is that it automates the everyday database operations and tuning, liberating TaylorMade to focal point on making the area's ultimate golf device.
Oracle logo (PRNewsfoto/Oracle)more
When TaylorMade separated from Adidas, the company needed to build out a platform within the cloud and selected Oracle self adequate Database for its unheard of availability, performance, and security. The business's first and simplest independent database, Oracle self adequate data Warehouse provides TaylorMade with the capability to scale as mandatory for planned trade initiatives, above everyone around seasonal workloads, in a simple and cost-efficient manner. It furthermore works with TaylorMade's present trade analytic tools to coerce sooner analysis to impulsively alter income concepts as needed. The database furthermore offers TaylorMade the tools they should pinpoint alternatives for trade diversification.
"As their enterprise needs endured to adapt, they required a greater efficient solution to seamlessly control and scale their information management system," stated Tom Collard, vice chairman of IT, TaylorMade. "With Oracle self adequate data Warehouse, they now luxuriate in a scalable, reasonable cloud platform to punch their enterprise. this will assuage preserve boom and unlock useful employee time so one can focal point on extra mission-important initiatives."
Taking odds of Oracle self sustaining statistics Warehouse's self-driving, self-securing, and self-repairing capabilities, TaylorMade will live certain its captious infrastructure is running successfully with efficiency it really is 40x faster than its feeble on-premise database solution. this will permit its IT group of workers to focus on actions that pressure growth and stronger meet consumer calls for while keeping expenses low.
"TaylorMade has a tradition of constructing the ultimate golf apparatus for authorities and patrons," famous Andrew Mendelsohn, govt vp of Database Server applied sciences, Oracle. "With Oracle self sustaining Database, Oracle handles everyone of the database operations and tuning so TaylorMade's IT carcass of workers can commit greater time to deriving trade value from their statistics."
About TaylorMade Golf business
Headquartered in Carlsbad, California, TaylorMade Golf is a number one manufacturer of high performance golf device with trade-leading innovative items devotion M5/M6 metalwoods, M5/M6 irons and TP5/TP5X golf balls. TaylorMade is the #1 Driver in Golf and furthermore an incredible drive on the PGA TOUR with some of the strongest athlete portfolios in golf, that includes Dustin Johnson, Rory McIlroy, Jason Day, Jon Rahm and Tiger Woods.
About OracleThe Oracle Cloud offers an entire suite of integrated applications for income, provider, advertising, Human resources, Finance, supply Chain and Manufacturing, plus incredibly-automated and cozy era 2 Infrastructure featuring the Oracle independent Database. For greater guidance about Oracle (ORCL), delight talk over with us at oracle.com.
TrademarksOracle and Java are registered emblems of Oracle and/or its affiliates. other names may well live logos of their respective house owners.
Redwood Shores, Calif.—Feb 14, 2019
KT Corp has selected Oracle Communications for the 5G coverage handle feature (PCF) within the buildout of its 5G community and to allow original network as a provider (NaaS) offerings for corporations. An early adopter of 5G, KT Corp is general for innovation and selected Oracle for its average 5G readiness, product maturity and competitive strengths, including its agile and feature-rich 5G PCF answer.
“building on their longstanding relationship with Oracle Communications, we're contented to continue working together as they assume expertise of everyone that 5G has to offer,” observed Gwangwook Lee, VP Core network strategy & Planning department., KT Corp. “In trials, the Oracle 5G PCF acknowledge performed past expectations and met their discerning metrics for using the success of their upcoming 5G deployment. After six years of successful partnership with Oracle within the 4G realm, they appear to live ahead to carrying on with the partnership with Oracle in the 5G domain and as they scamper to bring new, imaginitive offerings to their clients.”
The 5G PCF is the policy management characteristic of the 5G handle airplane, and some of the 5G Core network points supplying satisfactory of carrier and different community guidelines to communications service suppliers’ (CSPs) networks. Leveraging Oracle’s 5G Core community, KT Corp might live capable of proceed its network transformation towards 5G, and will unencumber original doorways for differentiated and customized consumer choices, assisting incremental 5G network monetization with enhanced service agility, improved bandwidth and extra customized functions.
With the introduction of 5G, CSPs devotion KT Corp are able to launch and evolve customized-healthy community slices faster than ever. network slicing is a totally dynamic process that gives CSPs with the casual to tailor connectivity services to the precise requirements of any given software; person, device or context, by means of logically setting apart virtualized network substances. This skill will permit CSPs to launch NaaS solutions tailored to the certain wants of their trade valued clientele that may latitude from AR and VR to connected vehicles, smart Factories, and smart Cities.
“by means of supplying an acknowledge that addresses 5G policy requirements and underpins KT Corp’s main 5G transformation,” observed Andy Hicks, major Analyst at GlobalData, “Oracle is staking a declare to leadership within the 5G core.”
“As they lengthen their partnership with visionary, KT Corp past their collective 4G success, Oracle is unlocking doors to original innovations in this subsequent generation of connectivity spanning from commercial enterprise functions to sensible ecosystems,” pointed out Doug Suriano, senior vice president and favorite manager, Oracle Communications.Contact data About Oracle Communications
Oracle Communications provides integrated communications and cloud options for provider suppliers and corporations to accelerate their digital transformation journey in a communications-driven world from community evolution to digital trade to customer journey. www.oracle.com/communications
To gain information of extra about Oracle Communications trade solutions, seek advice from: Oracle Communications LinkedIn, or live section of the dialog at Twitter @OracleComms.About Oracle
The Oracle Cloud presents an entire suite of built-in applications for income, service, advertising, Human resources, Finance, deliver Chain and Manufacturing, plus extremely-computerized and comfy technology 2 Infrastructure that includes the Oracle self sustaining Database. For extra counsel about Oracle (NYSE: ORCL), delight debate with us at www.oracle.com.trademarks
Oracle and Java are registered logos of Oracle and/or its associates. different names can live emblems of their respective house owners.
Oracle is including original aspects to the Oracle Blockchain Platform, making it less demanding for developers to integrate their blockchain applications with present trade and IT systems. About seven months after the platform became generally obtainable, Oracle is furthermore highlighting original consumers the utilize of the nascent expertise.
also: Oracle introduces original trade digital assistant
A blockchain, the expertise behind the cryptocurrency Bitcoin, is a shared, disbursed ledger that may store complete transaction histories. It has a number of utilize cases for enterprises that want to signify on tamper-proof transactions to create original salary streams or enhance enterprise operations. Oracle's platform makes blockchain expertise obtainable as a service.
one of the vital platform's original points are aimed at letting corporations and builders utilize their current expertise to construct and manage their applications. for instance, it elements an more advantageous world situation database to aid general SQL-primarily based ledger queries. This lets developers construct chaincode with typical programming advantage. The platform additionally now supports Hyperledger cloth 1.three, including aspects such as chaincode construction in Java.ought to examine
in the meantime, the brand original prosperous heritage database shadows transaction background birthright into a relational database schema in Oracle's self reliant information Warehouse or different Oracle databases. This lets corporations integrate their transaction background into interactive analytics dashboards. additionally, enhanced leisure APIs should quiet simplify integration with current IT equipment.
The up to date platform additionally lets businesses utilize exterior id suppliers for authentication. The feature should quiet aid consortium blockchains with many distinctive contributors, everyone of which may well live using diverse identity management methods. businesses can additionally now utilize third-party certificates to register client companies on the blockchain community.
amongst Oracle's lately-delivered blockchain customers are China Distance education Holdings limited, which uses blockchain to partake educational facts and skilled certifications throughout assorted academic associations. This helps employers and recruiters examine people' claimed academic credentials. in the meantime, the trade Circulor uses blockchain to music combat minerals from their starting location at mines to processing and utilize in electronic accessories. different Oracle blockchain shoppers comprehend Arab Jordan funding pecuniary institution, CargoSmart, certified Origins, HealthSync and ICS monetary techniques.related reports:
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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 trade intelligence and data warehousing applications using the Oracle Database, Application Server, Discoverer, Warehouse Builder and Oracle OLAP.
You can find more of Mark's labor at www.rittman.net/.
Plus Consultancy's effect Rittman shares what he believes are the top 10 original 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 original 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 original 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 luxuriate in 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 series of macros that aggregate data over a number of trade dimensions, over varying time periods, and following a set of involved trade rules that would live difficult to express as balanced SQL. I've worked on many a client assignation where the limitations of SQL meant that a number of standalone surpass spreadsheets had to live used, and while these gave the client the analytical capabilities they required, the customary issues of scalability and reliability of replicated data, and want of overall control often became patent after a while.
The train of the SQL Model clause is to give balanced SQL statements the talent to create a multidimensional array from the results of a balanced SELECT statement, carry out any number of interdependent inter-row and inter-array calculations on this array, and then update the basis tables with the results of the model. An illustration SQL statement using the MODEL clause would commemorate 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 live organize in "The original Oracle10g SQL Model Clause", the OracleWorld white paper "SQL Model clause of Oracle Database 10g", the OTN article "Announcing the original 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 original 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 live organize 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 artery great analytic workspaces can live 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 live 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 live partitioned just devotion any other Oracle table, allowing you to set aside one row in one tablespace, another in another, and each of these tablespaces could of course live 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 comprehend an enhancement where you can specify exactly which objects within the analytic workspace scamper 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 live partitioned, either by orbit 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 live 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 remonstrate to the application, simplifying the data model and allowing Oracle to attain everyone the arduous labor in the background.
Another excellent original 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 total orbit of alternative solutions to allow ad-hoc write access to Express databases. In Oracle 10g OLAP, analytic workspaces can live attached in MULTI mode, whereafter applications then ACQUIRE individual variables in the analytic workspace for read-write access. Once an remonstrate has been acquired (and locked by the Oracle multidimensional engine), updates can then assume location and the application can execute whatever modifications are necessary. After everyone changes luxuriate in 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 live spellbinding to note 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 live 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 feeble Express surpass Add-In) when the changes are finally COMMITted -- the key thing here is how database size is dealt with as the feeble 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 requisite to reckon and store data at the detail level. Aggregation, particularly dynamic aggregation, is another belt where Oracle9i and now 10g OLAP are a divorce improvement over Express and it's well worth looking at this belt in more detail if this is an issue with an existing Express system.
More details on Oracle10g OLAP's original features can live 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 talent 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 collect rewritten. Sometimes this is because you've broken one of the Query Rewrite restrictions, sometimes it's because your materialized view doesn't contain the rectify 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 practicable 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 discontinue 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 * oversight 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 live 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 labor out how to alter your CREATE MATERIALIZED VIEW statement to ensure that rewrite happened correctly. Oracle Database 10g comes with a original 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 hasty refresh.
More details on Query Rewrite improvements and the Tune MView Adviser can live 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 hasty as the feeble EXP for exporting data, and 10 times as hasty as the feeble 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 section of Oracle Enterprise Manager 10g.
Data Pump (and the original IMPDB and EXPDB applications) offers a number of improvements over the feeble 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 remonstrate 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 live embedded in third-party ETL packages.
More details on Data Pump can live 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 original 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 devotion processing and storage as utilities that effectively manage themselves.
More details on Automatic Storage Management can live 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% hurry 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 demonstrate that over 50% of a DBAs time is spend tuning and monitoring the database server, a stint that while significant is often involved and difficult to collect exactly right. With Oracle Database 10g, Oracle has introduced a number of components that together execute it practicable for the database server to monitor itself, execute quick-witted changes to configuration, and alert DBAs when situations arise that requisite 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 orbit 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 eventual snapshot are collected. The usage information stored in the Automatic Workload Repository is then used as the basis for everyone 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 original scheduling feature known as Unified Scheduler runs these tasks during a predefined maintenance window, set by default to live between 10:00 pm and 6:00 am the next day, although these times can live customized to reduce impact on other tasks (such as batch loads) that might live taking place.
The third component of the self-managing framework is Server Generated Alerts, a mode 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 live 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 everyone 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 ersatz intelligence algorithm, similar to that organize 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 very artery that a DBA would currently attain by analyzing statspack reports.
More details on the self-tuning and maintenance features in Oracle 10g can live 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 talent 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 effect 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 live organize in this OTN white paper, "On-time data warehousing with Oracle 10g -- Information at the hurry of your business," which furthermore details improvements to the transportable tablespaces feature in Oracle Database 10g (tablespaces no longer requisite to live sourced from the very 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 furthermore 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 original classification routines, back Vector Machine (used for top-down rather than a bottom-up calculations, assuming the best practicable fitting and then working backwards to what can live 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 original with Oracle10g Data Mining can live organize in the OTN online documentation.
About the author:Mark Rittman works for Plus Consultancy, an Oracle ally specializing in trade intelligence and data warehousing solutions, based in Brighton, England. He manages their data warehousing drill and spends most time designing and building BI&W systems based on the Oracle9i platform. Away from Plus, he's furthermore the chair of the UKOUG trade 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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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 live a full-time job.
The DBA must develop an approach to upgrading DBMS software that conforms to the organization’s needs and minimizes trade disruptions due to outages and database unavailability.
You may luxuriate in 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, delight advert to the sidebar.
A DBMS version upgrade can live thought of as a special case of a original installation. everyone the procedures required of a original installation apply to an upgrade: You must mode for arrogate resources, reconsider everyone system parameters, and ensure that everyone supporting software is appropriately connected. However, another serious issue must live planned for: existing users and applications. An upgrade needs to live planned to antecedent as dinky 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 live verified to live compatible with the original DBMS version. Therefore, upgrading can live a tricky and difficult task.
In a complex, heterogeneous, distributed database environment, a coherent upgrade strategy is essential. Truthfully, even organizations with only a sole DBMS should approach DBMS upgrades cautiously and mode accordingly. Failure to mode a DBMS upgrade can result in indecent and inefficient adoption of original features, performance degradation of original and existing applications, and downtime.
Upgrading to a original DBMS release offers both rewards and risks. The following are some of the benefits of affecting to a original release:
However, an efficient DBMS upgrade strategy must equipoise the benefits against the risks of upgrading to arrive at the best timeline for migrating to a original DBMS version or release. The risks of upgrading to a original DBMS release comprehend the following:
After weighing the benefits of upgrading against the risks of a original DBMS release, the DBA group must create an upgrade mode that works for the organization. Sometimes the conclusion will live to upgrade immediately upon availability, but often there is a lag between the general availability of a original release and its widespread adoption.
When the risks of a original release outweigh the benefits, some organizations may resolve to skip an interim release if doing so does not impact a future upgrade. For example, a suited 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 quiet practicable to “skip” a release by waiting to implement that release until the next release is available. For example, account the following scenario:
Although a multiple-release upgrade takes more time, it allows customers to effectively control when and how they will migrate to original releases of a DBMS instead of being held hostage by the DBMS vendor. When attempting a multiple-release upgrade of this type, live positive 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 requisite to research and prepare for the original features of not just Version 10 but furthermore Version 9.
An arrogate DBMS upgrade strategy depends on many things. The following sections contour the issues that must live factored into an efficient DBMS release upgrade strategy.Features and Complexity
Perhaps the biggest factor in determining when and how to upgrade to a original DBMS release is the functionality supported by the original release. Tightly coupled to functionality is the inherent complexity involved in supporting and administering original features.
It is more difficult to detain an upgrade if application developers are clamoring for original DBMS features. If DBMS functionality can minimize the cost and endeavor of application development, the DBA group will feel pressure to migrate swiftly to the original release. An additional factor that will coerce rapid adoption of a original release is when DBMS problems are fixed in the original release (instead of through regular maintenance fixes).
Regardless of a original release’s “bells and whistles,” certain administration and implementation details must live addressed before upgrading. The DBA group must ensure that standards are modified to comprehend the original features, educate developers and users as to how original features labor and should live used, and prepare the infrastructure to back the original DBMS functionality.
The types of changes required to back the original functionality must live 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 quiet labor with the revised internal structures.Complexity of the DBMS Environment
The more involved your database environment is, the more difficult it will live to upgrade to a original 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 comprehend 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 furthermore increases.
Location of the database servers furthermore affects the release upgrade strategy. Effectively planning and deploying a DBMS upgrade across multiple database servers at various locations supporting different lines of trade 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 live avoided, but that is not always possible.
Finally, the complexity of the applications that access your databases must live considered. The more involved your applications are, the more difficult it will live to ensure their continuing uninterrupted functionality when the DBMS is modified. Complexity issues comprehend the following:
DBMS vendors luxuriate in different reputations for technical support, fixing bugs, and responding to problems, which is why customer references are so significant when choosing a database.
The better the reputation of the vendor, the greater the likelihood of organizations rapidly adopting a original release. If the DBMS vendor is suited at responding to problems and supporting its customers as they migrate to original releases, those customers will more actively engage in migration activities.Support Policies of the DBMS
As original 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 feeble release must live factored into the DBMS release migration strategy. You should never flee a DBMS release in production that is no longer supported by the vendor. If problems occur, the DBMS vendor will not live 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 trade or application issues), live positive to investigate the DBMS vendor’s policies regarding back for retired releases of its software.Organization Style
Every organization displays characteristics that reveal its style when it comes to adopting original products and technologies. Industry analysts at Gartner, Inc., luxuriate in 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 original and unproven technologies to try to gain a competitive advantage. A type-B organization is less willing to assume risks but will adopt original technologies once others luxuriate in 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 original technology.
Only type-A organizations should mode on affecting aggressively to original DBMS releases immediately upon availability and only if the original 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 original release after the earliest users luxuriate in 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 luxuriate in never migrated a DBMS to a original release, account 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 live better prepared to handle the future upgrades alone.
If consultants will live required, live positive to comprehend their contracting cost in the DBMS release upgrade budget. The budget should allow you to retain the consultants until everyone production database environments are stable.Platform Support
When a DBMS vendor unleashes a original release of its product, not everyone 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 original 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 original DB2 release will most likely back Linux for System z very quickly, whereas this may not live just 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 back these UNIX platforms quickly upon general availability. Other less favorite varieties of UNIX will assume longer for the DBMS vendors to support.
When planning your DBMS upgrade, live positive to account the DBMS platforms you utilize and try to gauge the priority of your platform to your vendor. live positive to build some lag time into your release migration strategy to accommodate the vendor’s delivery schedule for your specific platforms.Supporting Software
Carefully account 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 luxuriate in a different time frame for supporting and exploiting a original DBMS release. Review the sidebar to understand the incompatibility between back and exploitation of a original DBMS release.
Some third-party utensil vendors result guidelines for supporting and exploiting original DBMS releases. Whenever possible, quiz your vendors to situation their policies for DBMS upgrade support. Your vendors will probably not commit to any solid date or date orbit to back original versions and releases—some DBMS versions are larger and more complicated and therefore assume longer to fully exploit.Fallback Planning
Each original DBMS version or release should approach with a manual that outlines the original features of the release and describes the fallback procedures to revert to a prior release of the DBMS. live positive to review the fallback procedures provided by the DBMS vendor in its release guide. You may requisite 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. sustain in sarcasm that fallback is not always an option for every original DBMS release.
If fallback is possible, result the DBMS vendor’s recommended procedures to enable it. You may requisite to detain the implementation of certain original features for fallback to remain an option. Understand fully the limitations imposed by the DBMS vendor on fallback, and exploit original features only when fallback is no longer an option for your organization.Migration Verification
The DBA should implement procedures—similar to those for a original installation—to verify that the DBMS release upgrade is satisfactory. execute the very steps as with a brand-new DBMS install, but furthermore 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 live unique, but the strategies we’ve discussed will assuage you to achieve success more readily. A well-thought-out DBMS upgrade strategy will prepare you to back original DBMS releases with minimum impact on your organization and in a style best suited to your company.
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