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Oracle Oracle Database 10g: New

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

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

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

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

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

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

the brand new Oracle Cloud Infrastructure situations live portion of two others introduced in October.

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

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

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

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

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

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


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

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

Chapter 1, "Getting begun," is the district to delivery for your endeavor to study every bit of about Oracle Database 10g. This chapter will first seem to live at the "grid" and clarify what or not it's every bit of about. Then it strikes on to elucidate how to better to Oracle Database 10g. certain matter matters covered consist of the "grid," upgrading to 10g, the SYSAUX tablespace and computerized Storage management (ASM).

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New Database protection evaluation tool from Oracle | killexams.com true Questions and Pass4sure dumps

Feb 2, 2018

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

the current tool become defined in a weblog set aside up by means of Vipin Samar, senior vp, Oracle.

“DBSAT is a simple, light-weight, and free device that helps Oracle customers privilege away investigate their databases,” he writes.  “Designed for utilize by every bit of Oracle database customers in tiny or tremendous companies, DBSAT has no dependency on other tools or infrastructure and desires no special abilities.  DBAs can download DBSAT and procure actionable stories in as tiny as 10 minutes.”

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

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

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

To read the weblog submit, proceed privilege here.


1Z0-045 Oracle Database 10g: current Features for Oracle8i OCPs

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Oracle Database 10g: current Features for Oracle8i OCPs

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

Mark Rittman

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

You can find more of Mark's toil at www.rittman.net/.

Plus Consultancy's stamp Rittman shares what he believes are the top 10 current 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[ recur to Table of Contents ]

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

The SQL Model clause has been designed to address the sort of situation where, in the past, clients maintain 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 succession of macros that aggregate data over a number of business dimensions, over varying time periods, and following a set of tangled business rules that would live difficult to express as run-of-the-mill SQL. I've worked on many a client assignation where the limitations of SQL meant that a number of standalone excel spreadsheets had to live used, and while these gave the client the analytical capabilities they required, the habitual issues of scalability and reliability of replicated data, and want of overall control often became distinct after a while.

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

SELECT SUBSTR(country,1,20) country, SUBSTR(prod,1,15) prod, year, sales FROM sales_view WHERE country IN ('Italy','Japan') MODEL recur 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 found in "The current Oracle10g SQL Model Clause", the OracleWorld white paper "SQL Model clause of Oracle Database 10g", the OTN article "Announcing the current Model" by Jonathan Gennick and OTN's documentation.

  2. The SQLAccess Adviser[ recur 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 factor of the current 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 found 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[ recur to Table of Contents ]

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

First up is improvements to the passage large 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 passage of partitioning the data, and you couldn't specify what objects within the analytic workspace went in to each partition. Oracle10g OLAP will now comprise an enhancement where you can specify exactly which objects within the analytic workspace proceed 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 attain 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 divide physical object, which can live directed to divide rows in the AW$ table (allowing you to partition these across different tablespaces and physical disk drives); the variable, however, appears as just one kick to the application, simplifying the data model and allowing Oracle to enact every bit of the hard toil in the background.

Another excellent current feature, and a true 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 gross attain 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 kick has been acquired (and locked by the Oracle multidimensional engine), updates can then buy district and the application can accomplish whatever modifications are necessary. After every bit of changes maintain 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 accomplish it available for other applications to write to. It'll live gripping to descry 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 passe Express excel Add-In) when the changes are finally COMMITted -- the key thing here is how database size is dealt with as the passe Express passage of doing it was less than optimal.

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

More details on Oracle10g OLAP's current features can live found 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[ recur to Table of Contents ]

Query Rewrite (the aptitude for Oracle to transparently redirect queries from detail plane to summary tables) is one of the best data warehousing features in Oracle8i and 9i, but it's sometimes a bit temperamental and you can often find that queries don't actually procure 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 rectify columns and aggregates. Oracle 10g has a number of improvements to Query Rewrite and the materialized view tuning process that should accomplish this process a bit more productive. With Oracle Database 10g, query rewrite is now feasible 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 desist 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 obstruct 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 toil out how to alter your CREATE MATERIALIZED VIEW statement to ensure that rewrite happened correctly. Oracle Database 10g comes with a current 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 quickly refresh.

More details on Query Rewrite improvements and the Tune MView Adviser can live found 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[ recur 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 quickly as the passe EXP for exporting data, and 10 times as quickly as the passe 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 portion of Oracle Enterprise Manager 10g.

Data Pump (and the current IMPDB and EXPDB applications) offers a number of improvements over the passe 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 kick 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 found 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[ recur to Table of Contents ]

Automatic Storage Management (ASM) is one of the 'cool current 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 devotion processing and storage as utilities that effectively manage themselves.

More details on Automatic Storage Management can live found 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[ recur to Table of Contents ]

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

  8. Automatic tuning and maintenance[ recur 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 found 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 chore that while principal is often tangled and difficult to procure exactly right. With Oracle Database 10g, Oracle has introduced a number of components that together accomplish it feasible for the database server to monitor itself, accomplish smart 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 attain of statistics and has a number of optimizations to streamline the passage high-cost SQL statements are captured, ensuring that only SQL activity that has significantly affected performance since the final snapshot are collected. The usage information stored in the Automatic Workload Repository is then used as the basis for every bit of 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 current 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 repercussion 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 method where the database server sends notifications via e-mail to the DBA -- including a recommendation as to how best to deal with the situation. Alerts will normally 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 every bit of 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 artificial intelligence algorithm, similar to that found in Oracle Expert, to analyze areas such as lock contention, CPU bottlenecks, I/O usage and contention, issues with checkpointing and so on, in much the same passage that a DBA would currently enact by analyzing statspack reports.

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

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

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

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

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

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

Alongside the inclusion of the Oracle Express multidimensional OLAP engine, Oracle9i besides 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 current classification routines, back Vector Machine (used for top-down rather than a bottom-up calculations, assuming the best feasible suitable 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 current with Oracle10g Data Mining can live found in the OTN online documentation.

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


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Upgrading DBMS Versions and Releases | killexams.com true questions and Pass4sure dumps

This chapter is from the engage 

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

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

You may maintain noticed that I utilize the terms version and release by far 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 refer to the sidebar.

A DBMS version upgrade can live thought of as a special case of a current installation. every bit of the procedures required of a current installation apply to an upgrade: You must procedure for usurp resources, reconsider every bit of system parameters, and ensure that every bit of supporting software is appropriately connected. However, another earnest issue must live planned for: existing users and applications. An upgrade needs to live planned to occasions as tiny 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 current 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 lone DBMS should approach DBMS upgrades cautiously and procedure accordingly. Failure to procedure a DBMS upgrade can result in indecent and inefficient adoption of current features, performance degradation of current and existing applications, and downtime.

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

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

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

    When the risks of a current release outweigh the benefits, some organizations may resolve to skip an interim release if doing so does not repercussion a future upgrade. For example, a trustworthy 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 noiseless feasible 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 live provided from Version 8 to Version 10.
  • ABC Corporation decides that DB Version 10 provides many useful features and wants to upgrade its current Version 8 implementation of DB. However, it has no compelling judgement to first implement and utilize Version 9.
  • To fulfill its requirements, ABC Corporation first upgrades Version 8 to Version 9 and then immediately upgrades Version 9 to Version 10.
  • Although a multiple-release upgrade takes more time, it allows customers to effectively control when and how they will migrate to current releases of a DBMS instead of being held hostage by the DBMS vendor. When attempting a multiple-release upgrade of this type, live certain 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 current features of not just Version 10 but besides Version 9.

    An usurp DBMS upgrade strategy depends on many things. The following sections profile 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 current DBMS release is the functionality supported by the current release. Tightly coupled to functionality is the inherent complexity involved in supporting and administering current features.

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

    Regardless of a current 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 comprise the current features, educate developers and users as to how current features toil and should live used, and prepare the infrastructure to back the current DBMS functionality.

    The types of changes required to back the current 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 noiseless toil with the revised internal structures.

    Complexity of the DBMS Environment

    The more tangled your database environment is, the more difficult it will live to upgrade to a current 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 comprise 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 besides increases.

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

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

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

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

    Support Policies of the DBMS

    As current 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 passe release must live factored into the DBMS release migration strategy. You should never sprint a DBMS release in production that is no longer supported by the vendor. If problems occur, the DBMS vendor will not 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 business or application issues), live certain 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 current products and technologies. Industry analysts at Gartner, Inc., maintain ranked organizations into three distinct groups labeled types A, B, and C. A type-A enterprise is technology driven and, as such, is more likely to risk using current and unproven technologies to try to gain a competitive advantage. A type-B organization is less willing to buy risks but will adopt current technologies once others maintain 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 current technology.

    Only type-A organizations should procedure on piteous aggressively to current DBMS releases immediately upon availability and only if the current features of the release will deliver advantages to the company. Type-C enterprises should adopt a very conservative strategy to ensure that the DBMS release is stable and well tested by type-A and type-B companies first. Type-B organizations will Fall somewhere between types A and C: Almost never upgrading immediately, the type-B company will adopt the current release after the earliest users maintain 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 maintain never migrated a DBMS to a current 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 live better prepared to handle the future upgrades alone.

    If consultants will live required, live certain to comprise their contracting cost in the DBMS release upgrade budget. The budget should allow you to retain the consultants until every bit of production database environments are stable.

    Platform Support

    When a DBMS vendor unleashes a current release of its product, not every bit of 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 current release is likely to differ for each DBMS vendor. For example, Linux for System z is more strategic to IBM than to Oracle, so a current DB2 release will most likely back Linux for System z very quickly, whereas this may not live hearty of Oracle. The issue is even thornier for UNIX platforms because of the sheer number of UNIX variants in the marketplace. The most approved 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 generic availability. Other less approved varieties of UNIX will buy longer for the DBMS vendors to support.

    When planning your DBMS upgrade, live certain to reckon the DBMS platforms you utilize and try to gauge the priority of your platform to your vendor. live certain 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 repercussion of a DBMS upgrade on any supporting software. Supporting software includes purchased applications, DBA tools, reporting and analysis tools, and query tools. Each software vendor will maintain a different time frame for supporting and exploiting a current DBMS release. Review the sidebar to understand the dissimilarity between back and exploitation of a current DBMS release.

    Some third-party tool vendors succeed guidelines for supporting and exploiting current DBMS releases. Whenever possible, exact your vendors to state their policies for DBMS upgrade support. Your vendors will probably not relegate to any solid date or date attain to back current versions and releases—some DBMS versions are larger and more complicated and therefore buy longer to fully exploit.

    Fallback Planning

    Each current DBMS version or release should arrive with a manual that outlines the current features of the release and describes the fallback procedures to recur to a prior release of the DBMS. live certain to review the fallback procedures provided by the DBMS vendor in its release guide. You may requisite to recur to a previous DBMS release if the upgrade contains a bug, performance problems ensue, or other problems arise during or immediately after migration. reserve in intelligence that fallback is not always an option for every current DBMS release.

    If fallback is possible, succeed the DBMS vendor’s recommended procedures to enable it. You may requisite to retard the implementation of certain current features for fallback to remain an option. Understand fully the limitations imposed by the DBMS vendor on fallback, and exploit current features only when fallback is no longer an option for your organization.

    Migration Verification

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



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    References :


    weSRCH : https://www.wesrch.com/business/prpdfBU1HWO000KMYH
    Issu : https://issuu.com/trutrainers/docs/1z0-045
    Dropmark : http://killexams.dropmark.com/367904/11563399
    Wordpress : http://wp.me/p7SJ6L-Cp
    Scribd : https://www.scribd.com/document/359008213/Pass4sure-1Z0-045-Braindumps-and-Practice-Tests-with-Real-Questions
    Dropmark-Text : http://killexams.dropmark.com/367904/12088799
    Blogspot : http://killexams-braindumps.blogspot.com/2017/11/where-can-i-get-help-to-pass-1z0-045.html
    Youtube : https://youtu.be/uz452gyF524
    RSS Feed : http://feeds.feedburner.com/ExactlySame1z0-045QuestionsAsInRealTestWtf
    Google+ : https://plus.google.com/112153555852933435691/posts/1Y4921pV55G?hl=en
    publitas.com : https://view.publitas.com/trutrainers-inc/where-can-i-get-help-to-pass-1z0-045-exam
    publitas.com : https://view.publitas.com/trutrainers-inc/pass4sure-1z0-045-practice-tests-with-real-questions
    Calameo : http://en.calameo.com/books/0049235263ac81290e353
    Box.net : https://app.box.com/s/0euoy713eiyj1j2yoyt15sfigp8rloe5
    zoho.com : https://docs.zoho.com/file/3y7xkb1a95dc1e80d42f29eb78bddb01ebbe3






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