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Oracle Oracle Database 10g: New

TaylorMade Golf Tees Off with Oracle self sustaining Database | actual Questions and Pass4sure dumps

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 benefit of the brand modern 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)


When TaylorMade separated from Adidas, the company needed to build out a platform within the cloud and selected Oracle self sufficient Database for its unheard of availability, performance, and security. The business's first and simplest independent database, Oracle self sufficient data Warehouse provides TaylorMade with the capability to scale as mandatory for planned traffic initiatives, above any around seasonal workloads, in a simple and cost-efficient manner. It too works with TaylorMade's present traffic analytic tools to obligate sooner analysis to impulsively alter income concepts as needed. The database too offers TaylorMade the tools they should pinpoint alternatives for traffic diversification.

"As their enterprise needs endured to adapt, they required a greater effective solution to seamlessly control and scale their information management system," stated Tom Collard, vice chairman of IT, TaylorMade. "With Oracle self sufficient data Warehouse, they now believe a scalable, reasonable cloud platform to vigor their enterprise. this will assist preserve boom and unlock useful employee time so one can focal point on extra mission-important initiatives."

Taking advantage of Oracle self sustaining statistics Warehouse's self-driving, self-securing, and self-repairing capabilities, TaylorMade will breathe inescapable its captious infrastructure is running successfully with efficiency it really is 40x faster than its obsolete 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," noted Andrew Mendelsohn, govt vp of Database Server applied sciences, Oracle. "With Oracle self sustaining Database, Oracle handles any of the database operations and tuning so TaylorMade's IT carcass of workers can confide greater time to deriving traffic value from their statistics."

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About TaylorMade Golf business

Headquartered in Carlsbad, California, TaylorMade Golf is a number one manufacturer of lofty performance golf device with trade-leading innovative items fancy M5/M6 metalwoods, M5/M6 irons and TP5/TP5X golf balls. TaylorMade is the #1 Driver in Golf and too 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 comfortable era 2 Infrastructure featuring the Oracle independent Database. For greater guidance about Oracle (ORCL), tickle talk over with us at

TrademarksOracle and Java are registered emblems of Oracle and/or its affiliates. other names may well breathe logos of their respective house owners.

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KT Corp Connects With Oracle for brand spanking modern 5G traffic capabilities | actual Questions and Pass4sure dumps

Press liberate

Redwood Shores, Calif.—Feb 14, 2019

KT Corp has selected Oracle Communications for the 5G coverage wield feature (PCF) within the buildout of its 5G community and to allow modern network as a provider (NaaS) offerings for corporations. An early adopter of 5G, KT Corp is universal for innovation and selected Oracle for its middling 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 elated to continue working together as they prefer expertise of any that 5G has to offer,” observed Gwangwook Lee, VP Core network strategy & Planning department., KT Corp. “In trials, the Oracle 5G PCF reply 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 breathe ahead to carrying on with the partnership with Oracle in the 5G domain and as they stride to bring new, imaginitive offerings to their clients.”

The 5G PCF is the policy management characteristic of the 5G wield 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 breathe capable of proceed its network transformation towards 5G, and will unencumber modern 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 fancy 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 random 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 inescapable wants of their traffic valued clientele that may latitude from AR and VR to connected vehicles, smart Factories, and smart Cities.

“by means of supplying an reply 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 modern innovations in this subsequent generation of connectivity spanning from commercial enterprise functions to sensible ecosystems,” pointed out Doug Suriano, senior vice president and current 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 traffic to customer journey.

To gain scholarship of extra about Oracle Communications trade solutions, seek recommendation from: Oracle Communications LinkedIn, or breathe fraction 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), tickle debate with us at


Oracle and Java are registered logos of Oracle and/or its associates. different names can breathe emblems of their respective house owners.

Oracle provides modern devOps capabilities to blockchain platform | actual Questions and Pass4sure dumps

Oracle is including modern aspects to the Oracle Blockchain Platform, making it less demanding for developers to integrate their blockchain applications with present traffic and IT systems. About seven months after the platform became generally obtainable, Oracle is too highlighting modern consumers the employ of the nascent expertise.

also: Oracle introduces modern traffic 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 employ cases for enterprises that want to weigh on tamper-proof transactions to create modern salary streams or enhance enterprise operations. Oracle's platform makes blockchain expertise obtainable as a service.

one of the vital platform's modern points are aimed at letting corporations and builders employ their current expertise to construct and manage their applications. for instance, it elements an more advantageous world state database to aid universal 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 modern prosperous legacy database shadows transaction background prerogative 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 still simplify integration with current IT equipment.

The up to date platform additionally lets businesses employ exterior id suppliers for authentication. The feature should still aid consortium blockchains with many distinctive contributors, any of which may well breathe using diverse identity management methods. businesses can additionally now employ 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 share educational facts and skilled certifications throughout assorted academic associations. This helps employers and recruiters examine people' claimed academic credentials. in the meantime, the traffic Circulor uses blockchain to music conflict minerals from their starting residence at mines to processing and employ in electronic accessories. different Oracle blockchain shoppers involve Arab Jordan funding pecuniary institution, CargoSmart, certified Origins, HealthSync and ICS monetary techniques.

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Oracle Database 10g: modern Features for Oracle8i OCPs

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

Mark Rittman

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

You can find more of Mark's work at

Plus Consultancy's brand Rittman shares what he believes are the top 10 modern data warehousing features in Oracle Database 10g. employ 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 plenary table scans  8. Automatic tuning and maintenance  9. Asynchronous Change Data Capture  10. Improvements to Oracle data mining

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

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

The SQL Model clause has been designed to address the sort of situation where, in the past, clients believe 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 traffic dimensions, over varying time periods, and following a set of complex traffic rules that would breathe difficult to express as ordinary SQL. I've worked on many a client engagement where the limitations of SQL meant that a number of standalone excel spreadsheets had to breathe used, and while these gave the client the analytical capabilities they required, the usual issues of scalability and reliability of replicated data, and need of overall control often became pellucid after a while.

The train of the SQL Model clause is to give ordinary SQL statements the ability to create a multidimensional array from the results of a ordinary 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 case SQL statement using the MODEL clause would peep 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 institute in "The modern Oracle10g SQL Model Clause", the OracleWorld white paper "SQL Model clause of Oracle Database 10g", the OTN article "Announcing the modern Model" by Jonathan Gennick and OTN's documentation.

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

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

More details on the SQLAccess Adviser can breathe institute in this OracleWorld white paper, ""Turbocharge your database: employ 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 way great analytic workspaces can breathe partitioned, introducing into the Oracle OLAP world some of the advanced partitioning options currently enjoyed by Oracle database users. Currently, analytic workspaces, stored as AW$ tables within an Oracle schema, can breathe partitioned across multiple rows in the AW$ table by specifying a maximum segment size, allowing you to split an individual analytic workspace into (say) 10 GB segments, one in each table row. This table could then breathe partitioned just fancy any other Oracle table, allowing you to do 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 way of partitioning the data, and you couldn't specify what objects within the analytic workspace went in to each partition. Oracle10g OLAP will now involve an enhancement where you can specify exactly which objects within the analytic workspace vanish in to each partition, and you can further subdivide this by segment size if objects are particularly large.

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

Another excellent modern feature, and a actual improvement over what was available with Express, is support 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 whole compass of alternative solutions to allow ad-hoc write access to Express databases. In Oracle 10g OLAP, analytic workspaces can breathe attached in MULTI mode, whereafter applications then ACQUIRE individual variables in the analytic workspace for read-write access. Once an demur has been acquired (and locked by the Oracle multidimensional engine), updates can then prefer residence and the application can compose whatever modifications are necessary. After any changes believe 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 compose it available for other applications to write to. It'll breathe thoughtprovoking to behold 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 obsolete Express excel Add-In) when the changes are finally COMMITted -- the key thing here is how database size is dealt with as the obsolete Express way 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 compute and store data at the detail level. Aggregation, particularly dynamic aggregation, is another locality where Oracle9i and now 10g OLAP are a discrete 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 modern features can breathe institute 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 ability for Oracle to transparently redirect queries from detail smooth 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 deserve rewritten. Sometimes this is because you've broken one of the Query Rewrite restrictions, sometimes it's because your materialized view doesn't hold the remedy columns and aggregates. Oracle 10g has a number of improvements to Query Rewrite and the materialized view tuning process that should compose this process a bit more productive. With Oracle Database 10g, query rewrite is now viable when your SELECT statement contains analytic functions, plenary outer joins and set operations such as UNION, MINUS and INTERSECT. In addition, you can now employ a hint, /*+ REWRITE_OR_ERROR */, which will stop the execution of a SQL statement if query rewrite cannot occur.

SQL> SELECT /*+ REWRITE_OR_ERROR */ 2 s.prod_id, 3 sum(s.quantity_sold) 4 FROM sales s 5 GROUP BY s.prod_id; FROM sales s * error at line 4: ORA-30393: a query shroud 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 work out how to alter your CREATE MATERIALIZED VIEW statement to ensure that rewrite happened correctly. Oracle Database 10g comes with a modern advisor package, DBMS_ADVISOR.TUNE_MVIEW, that takes as its input a CREATE MATERIALIZED VIEW DML statement, and outputs a corrected version that supports query rewrite and features such as mercurial refresh.

More details on Query Rewrite improvements and the Tune MView Adviser can breathe institute 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 rational 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 mercurial as the obsolete EXP for exporting data, and 10 times as mercurial as the obsolete IMP for importing data. Data Pump is callable either through the DBMS_DATAPUMP package, through the replacements for IMP and EXP, known as IMPDB and EXPDB, or through a wizard delivered as fraction of Oracle Enterprise Manager 10g.

Data Pump (and the modern IMPDB and EXPDB applications) offers a number of improvements over the obsolete 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 demur 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 institute in this OracleWorld white paper by George Claborn, "Data Pump in Oracle Database 10g: Foundation for ultra-high-speed data movement utilities,", OTN's online documentation and this Oracle-by-example tutorial.

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

Automatic Storage Management (ASM) is one of the 'cool modern features' in Oracle10g that is meant to reduce the workload for Oracle DBAs. ASM completely automates the process of creating rational 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 rational 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 institute 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 plenary 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% speed 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 institute in competitor products are being introduced to the server technology stack.

Surveys point to that over 50% of a DBAs time is spend tuning and monitoring the database server, a task that while principal is often complex and difficult to deserve exactly right. With Oracle Database 10g, Oracle has introduced a number of components that together compose it viable for the database server to monitor itself, compose brilliant 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 compass of statistics and has a number of optimizations to streamline the way high-cost SQL statements are captured, ensuring that only SQL activity that has significantly affected performance since the terminal snapshot are collected. The usage information stored in the Automatic Workload Repository is then used as the basis for any the self-management functionality in Oracle Database 10g.

Next up is the Automatic Maintenance Tasks feature, which acts on the statistics gathered by the Automatic Workload Repository, and carries out tasks such as index rebuilding, refreshing statistics and so on, where such tasks don't require any manual intervention by the DBA. A modern scheduling feature known as Unified Scheduler runs these tasks during a predefined maintenance window, set by default to breathe between 10:00 pm and 6:00 am the next day, although these times can breathe customized to reduce 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 way 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 any 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 institute in Oracle Expert, to dissect areas such as lock contention, CPU bottlenecks, I/O usage and contention, issues with checkpointing and so on, in much the very way that a DBA would currently finish by analyzing statspack reports.

More details on the self-tuning and maintenance features in Oracle 10g can breathe institute 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 ability 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 consequence 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 institute in this OTN white paper, "On-time data warehousing with Oracle 10g -- Information at the speed of your business," which too details improvements to the transportable tablespaces feature in Oracle Database 10g (tablespaces no longer need to breathe 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 too embedded data mining functionality in the database together, and this data mining functionality has been enhanced with Oracle Database 10g. Oracle Database 10g adds support for two modern classification routines, Support Vector Machine (used for top-down rather than a bottom-up calculations, assuming the best viable fit and then working backwards to what can breathe achieved) and Non-Negative Matrix Factorisation, together with support for Frequent Itemsets, used for such functions as market basket analysis and propensity analysis.

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

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

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Upgrading DBMS Versions and Releases | actual questions and Pass4sure dumps

This chapter is from the book 

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 traffic disruptions due to outages and database unavailability.

You may believe noticed that I employ the terms version and release not much 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, tickle advert to the sidebar.

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

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

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

  • Developers can avail themselves of modern features and functionality delivered only in the modern release. If development requires a modern feature, or can simply benefit from a modern 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 modern DBMS release is required to scale applications to support additional users or larger amounts of data.
  • DBMS vendors often provide better support and respond to problems faster for a modern release of their software. DBMS vendors are loath to allow immoral publicity about bugs in a modern and heavily promoted version of their products.
  • Cost savings may accrue by upgrading to a modern DBMS release. Some vendors permeate additionally when a company uses multiple versions of a DBMS, such as the modern version in a test environment and the obsolete in production. When both are migrated to the very version, the cost tag for the DBMS sometimes can breathe reduced.
  • Production migration to a modern DBMS release will align the test and production database environments, thereby providing a consistent environment for development and implementation. If a modern 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 effective DBMS upgrade strategy must equipoise the benefits against the risks of upgrading to arrive at the best timeline for migrating to a modern DBMS version or release. The risks of upgrading to a modern DBMS release involve the following:

  • An upgrade to the DBMS usually involves some smooth of disruption to traffic operations. At a minimum, databases will not breathe available while the DBMS is being upgraded. This can result in downtime and lost traffic opportunities if the DBMS upgrade occurs during ordinary traffic hours (or if there is no planned downtime). Clustered database implementations may permit some database availability while individual database clusters are migrated to the modern DBMS version.
  • Other disruptions can occur, such as having to transform database structures or discovering that previously supported features were removed from the modern release (thereby causing application errors). Delays to application implementation timelines are another possibility.
  • The cost of an upgrade can breathe a significant barrier to DBMS release migration. First, the cost of the modern version or release must breathe budgeted for (price increases for a modern DBMS version can amount to as much as 10 to 25 percent). The upgrade cost must too factor in the costs of planning, installing, testing, and deploying not just the DBMS but too any applications that employ databases. Finally, breathe sure to involve the cost of any modern resources (such as memory, storage, additional CPUs) required to employ the modern features delivered by the modern DBMS version.6
  • DBMS vendors usually tout the performance gains that can breathe achieved with a modern release. However, when SQL optimization techniques change, it is viable that a modern DBMS release will generate SQL access paths that execute worse than before. DBAs must implement a rigorous testing process to ensure that modern access paths are helping, not harming, application performance. When performance suffers, application code may need to breathe changed—a very costly and time-consuming endeavor. A rigorous test process should breathe able to ensnare most of the access path changes in the test environment.
  • New DBMS releases may antecedent features and syntax that are being used in existing applications to breathe deprecated.7 When this occurs, the applications must breathe modified before migration to the modern release can proceed.
  • To prefer advantage of improvements implemented in a modern DBMS release, the DBA may believe to apply some invasive changes. For example, if the modern version increases the maximum size for a database object, the DBA may believe to drop and recreate that demur to prefer advantage of the modern maximum. This will breathe the case when the DBMS adds internal control structures to facilitate such changes.
  • Supporting software products may need immediate support for a modern 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 modern DBMS release, the DBA group must create an upgrade contrivance that works for the organization. Sometimes the conclusion will breathe to upgrade immediately upon availability, but often there is a lag between the universal availability of a modern release and its widespread adoption.

    When the risks of a modern 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 fine number of Oracle customers migrated directly from Oracle7 to Oracle8i, skipping Oracle8. If the DBMS vendor does not allow users to bypass a version or release, it is still viable to “skip” a release by waiting to implement that release until the next release is available. For example, reckon 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 reason to first implement and employ Version 9.
  • To fulfill its requirements, ABC Corporation first upgrades Version 8 to Version 9 and then immediately upgrades Version 9 to Version 10.
  • Although a multiple-release upgrade takes more time, it allows customers to effectively control when and how they will migrate to modern releases of a DBMS instead of being held hostage by the DBMS vendor. When attempting a multiple-release upgrade of this type, breathe sure 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 modern features of not just Version 10 but too Version 9.

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

    Features and Complexity

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

    It is more difficult to delay an upgrade if application developers are clamoring for modern 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 modern release. An additional factor that will coerce rapid adoption of a modern release is when DBMS problems are fixed in the modern release (instead of through regular maintenance fixes).

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

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

    Complexity of the DBMS Environment

    The more complex your database environment is, the more difficult it will breathe to upgrade to a modern DBMS release. The first complexity issue is the size of the environment. The greater the number of database servers, instances, applications, and users, the greater the complexity. Additional concerns involve 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 too increases.

    Location of the database servers too affects the release upgrade strategy. Effectively planning and deploying a DBMS upgrade across multiple database servers at various locations supporting different lines of traffic 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 complex your applications are, the more difficult it will breathe to ensure their continuing uninterrupted functionality when the DBMS is modified. Complexity issues involve the following:

  • Usage of stored procedures and user-defined functions.
  • Complexity of the SQL—the more tables involved in the SQL and the more complex 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 modern DBMS release.
  • Applications that are designed, coded, and generated by a framework or an IDE (for example, Hibernate) may believe additional components that need to breathe tested with a modern DBMS release.
  • Integration with other infrastructure software such as message queues and transaction processors can complicate migration because modern versions of these products may breathe required to support the modern DBMS release.
  • The language used by the programs might too impact DBMS release migration due to different support for compiler versions, changes to APIs (application programming interfaces), or modern ways of embedding SQL into application programs.
  • Reputation of the DBMS Vendor

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

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

    Support Policies of the DBMS

    As modern releases are introduced, DBMS vendors will retire older releases and no longer support them. The length of time that the DBMS vendor will support an obsolete release must breathe factored into the DBMS release migration strategy. You should never race 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 support 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 traffic or application issues), breathe sure to investigate the DBMS vendor’s policies regarding support for retired releases of its software.

    Organization Style

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

    Only type-A organizations should contrivance on affecting aggressively to modern DBMS releases immediately upon availability and only if the modern features of the release will deliver advantages to the company. Type-C enterprises should adopt a very conservative strategy to ensure that the DBMS release is stable and well tested by type-A and type-B companies first. Type-B organizations will topple somewhere between types A and C: Almost never upgrading immediately, the type-B company will adopt the modern release after the earliest users believe 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 believe never migrated a DBMS to a modern release, reckon 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 sure to involve their contracting cost in the DBMS release upgrade budget. The budget should allow you to retain the consultants until any production database environments are stable.

    Platform Support

    When a DBMS vendor unleashes a modern release of its product, not any platforms and operating systems are immediately supported. The DBMS vendor usually first supports the platforms and operating systems for which it has the most licensed customers. The order in which platforms are supported for a modern release is likely to vary for each DBMS vendor. For example, Linux for System z is more strategic to IBM than to Oracle, so a modern DB2 release will most likely support Linux for System z very quickly, whereas this may not breathe genuine 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 support these UNIX platforms quickly upon universal availability. Other less current varieties of UNIX will prefer longer for the DBMS vendors to support.

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

    Supporting Software

    Carefully reckon 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 believe a different time frame for supporting and exploiting a modern DBMS release. Review the sidebar to understand the distinction between support and exploitation of a modern DBMS release.

    Some third-party tool vendors result guidelines for supporting and exploiting modern DBMS releases. Whenever possible, interrogate your vendors to state their policies for DBMS upgrade support. Your vendors will probably not confide to any firm date or date compass to support modern versions and releases—some DBMS versions are larger and more complicated and therefore prefer longer to fully exploit.

    Fallback Planning

    Each modern DBMS version or release should approach with a manual that outlines the modern features of the release and describes the fallback procedures to revert to a prior release of the DBMS. breathe sure 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. withhold in intelligence that fallback is not always an option for every modern DBMS release.

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

    Migration Verification

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

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