Getting Started with IBM Data Studio for DB2

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322 Getting Started with IBM Data Studio for DB2 This is very helpful where it just takes too long to take a full backup and in some cases it is not viable because of the amount of time it takes and because of the impact backup has to end users, who cannot access the database while it is being backed up. DB2 Merge Backup lets you have full backups available at a more consistent and up to date point in time. DB2 Merge Backup also gives you the capability to run the merge processing on a computer outside of your DB2 database, thus reducing the amount of resources being consumed on the production computer. • DB2 Recovery Expert optimizes recovery processes. It helps organization minimize recovery times by isolating recovery to just the impacted objects without having to resort to full database recovery. This means that you can recover faster and with greater granularity than what is available with traditional database recovery. Think about the situation where you have multiple tables in a table space. If a user deletes some data from one of those tables by accident, you can identify which data was deleted and recover just that data rather than having to recover the whole table space. DB2 Recovery Expert log analysis capabilities enables single object recovery as well as recovery from data corruption caused by flawed applications. This allows database administrators to quickly restore or correct erroneous data using fewer resources. Log analysis also lets database administrators monitor activity to sensitive DB2 tables. Database administrators can view data changes by date, users, tables, and other criteria. Administrators may institute tighter controls over the data to ensure that the data is no longer compromised. 11.2.5 Optimize: InfoSphere Optim Performance Manager and InfoSphere Optim Data Growth Solutions Organizations not only want their applications to run, but to run well. While DB2 provides advanced self-tuning features, it can only optimize within the constraints of the resources it has available. Organizations still need to monitor database performance to detect performance erosion that can lead to missed service level agreements and declining staff productivity. Beyond health monitoring in Data Studio, InfoSphere Optim Performance Manager provides 24 x 7 monitoring and performance warehousing to give database administrators and other IT staff the information needed to manage performance proactively to: • Prevent problems before they impact the business • Save hours of staff time and stress • Align monitoring objectives with business objectives In addition, when using Data Studio for query development, developers can use the InfoSphere Optim Performance Manager integration to see the actual performance improvements across iterations of query refinements and executions. Application metadata such Java packages and source code lines can be shard with InfoSphere Optim Performance Manager to accelerate problem resolution. Problematic workloads can be easily transferred to InfoSphere Optim Query Workload Tuner for expert recommendations.
Chapter 10 – Developing data web services 323 InfoSphere Optim Data Growth Solution is central to managing data growth, archival, and retention. Archiving in-active data support higher performing applications, yet archival must be managed to meet ongoing access requirements for customer support or for audit and compliance. InfoSphere Optim Data Growth provides such capabilities enabling data archival with ingoing access through the native application or though standard reporting or query facilities. Selective restore enables audit database to be created as needed. 11.2.6 Job responsibilities and associated products In Chapter 1, we mentioned that Data Studio can provide a way to grow your skills horizontally across different database platforms. Data Studio can also serve as a stepping stone for the rest of the data lifecycle management products. Because the portfolio focuses on collaboration among different roles, these products can help you work with and learn tasks that can help you become a production database administrator, a high performing Java developer, a Data Architect, or even a Data Governance officer. Table 11.1 includes some job roles and appropriate products that can help with those roles. Job Developer (data access) Database Administrator (applicationfocused) Database Administrator (including data governance responsibilities) Data Architect Related products Data Studio, InfoSphere Optim Query Workload Tuner (Also helpful to learn Rational Application Developer for WebSphere Software) Data Studio, InfoSphere Optim Query Workload Tuner, InfoSphere Optim Test Data Management Solution and InfoSphere Optim Data Privacy Solution Data Studio, InfoSphere Data Architect, InfoSphere Optim Performance Manager, DB2 Advanced Recovery Solution, InfoSphere Optim Configuration Manager, InfoSphere Optim Data Growth Solution, InfoSphere Optim Data Privacy Solution InfoSphere Data Architect (also helpful to learn Rational Software Architect for WebSphere Software)Table 11.1– Job roles and suggested software 11.3 Data Studio, InfoSphere Optim and integration with Rational Software This section outlines how some of the key InfoSphere Optim products integrate with and extend the Rational Software Delivery Platform. The goal of InfoSphere Optim solutions for
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3 Notices This information was deve
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Table of contents 5 Table of conten
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Preface 13 Keeping your skills curr
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around the world have participated
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17 About the authors Dimple Bhatia
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Contributors 19 The following peopl
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21 Acknowledgements The authors owe
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24 Getting Started with IBM Data St
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100 Getting Started with IBM Data S
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103 Chapter 3 - Maintaining the dat
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159 Chapter 5 - Creating SQL and XQ
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Chapter 5 - Creating SQL and XQuery
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193 Chapter 6 - Managing jobs Job m
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Chapter 6 - Managing jobs 195 6.3 J
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Chapter 6 - Managing jobs 207 6.5 R
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Chapter 6 - Managing jobs 209 6.6.2
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213 Chapter 7 - Tuning queries In t
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7.4.2 Run the Statistics Advisor an
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Chapter 7 - Tuning queries 233 3. O
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237 Chapter 8 - Developing SQL stor
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E.5.4 Data web services artifacts A
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References 391 References [1] HAYES
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References 393 Books and articles 1
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396 Getting started with IBM Data S
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