1. Integrated Data Management Vision and Roadmap
Curt Cotner
IBM Fellow
Vice President and CTO for IBM Database Servers

2. What do Businesses Have
What do Businesses Have? A Collection of Disparate, Single-Purpose Products
CA ERwin
IBM InfoSphere Data Architect
Embarcadero ER/Studio
Sybase PowerDesigner
Design
Oracle Tuning Pack
Solix EDMS
IBM Optim Data Growth Solution
Optimize
Quest Spotlight
Quest TOAD
IBM Data Studio Developer
Oracle JDeveloper
Develop
Embarcadero Rapid SQL
Quest InTrust
Guardium
IBM Optim
Govern
Oracle Vault
IBM DB2 tools
BMC Patrol
Quest Central
Oracle Diagnostic Pack
Operate
IBM Comparison
Tool for DB2 z/OS
Embarcadero Change Manager
Data Studio Administrator
Deploy
Oracle Change
Management Pack

3. The gaps create risk … Loss of customers Loss of revenue
Average customer churn rate up 2.5% after a breach
Loss of revenue
$197 USD per customer record leaked
Average cost was ~ $6.3 million / breach in this study
Average cost for financial services organizations was 17% higher than average
Fines, penalties or inability to conduct business based on non-compliance
PCI
Sarbanes-Oxley (SOX)‏
HIPAA
Data Breach Disclosure Laws
Gramm-Leach-Bliley Act
Basel II
Although there is disagreement about the exact definition of data governance, the consequences of ineffective data governance are well known: lack of control on one of your organizations most critical assets - its data – which ultimately leads to increased risk, cost inefficiencies, regulatory noncompliance, and potentially costly data breaches.
An example of such is the data breach that occurred at Her Majesty's Revenue and Customs (HMRC) agency in the UK last October Two computer discs owned by HRMC containing data relating to child benefits went missing. The two discs contained the personal details of all families in the United Kingdom claiming child benefits, thought to be approximately 25 million people (nearly half of the country's population). The discs were sent by junior staff as unrecorded internal mail. After not receiving the disks at the destination - and then not being able to find them after an extensive search - they announced its loss to the public on November 20th 2007 due to that countries disclosure laws for lost data. The personal data on the missing discs included names, addresses, and dates of birth of children, together with the National Insurance numbers and bank details of many of their parents.
Unfortunately, the HMRC breach is just one of many such occurrences that have occurred all over the world. In fact, it is estimated that over 245 million customer and employee records have been leaked since 2005 in the US alone. [
This situation is only one example, but clearly highlights the following:
1) how easily such a disaster can occur even unintentionally
2) the stark consequences of such mistakes and
3) the importance of effective data governance.
References :
Source: “2007 Annual Study: Cost of a Data Breach” , The Ponemon Institute 3

4. Driven by the increasing numbers of physical systems, system management has become the main component of IT costs and is growing rapidly
Many Servers, Much Capacity, Low Utilization = $140B unutilized server assets

5. What do Businesses Need
What do Businesses Need? An integrated environment to span today’s flexible roles
Manage data throughout its lifecycle
From design to sunset
Manage data across complex IT environments
Multiple interrelated databases, applications
Involving databases and platforms from multiple vendors
Facilitate cross-functional collaboration
Within IT
Among Line of Business, Compliance functions
Across disparate skill sets
Optimize business value
Respond quickly to emerging opportunities
Improve quality of service
Reduce cost of ownership
Mitigate risk

6. Integrated Data Management – What’s Different?
DBAs
Testers
Data Architect
Application Manager
AppDev
Produce enterprise-ready applications faster
Improve data access, speed iterative testing and empower collaboration across the lifecycle
Consistently achieve service level targets
Automate and simplify operations with contextual intelligence across the solution stack
Support business growth
Accommodate new initiatives without expanding infrastructure
Simplify application upgrades, consolidation and retirement
Facilitate alignment, consistency and governance
Upfront business policies and standards; share, extend, and apply throughout the lifecycle

7. The broadest range of capabilities for managing the value of your data throughout its lifetime
InfoSphere Data Architect
Develop
Design
Deploy
Optimize
Operate
Govern
Policies
Models
Metadata
Optim Development Studio
Optim Data Growth Solutions
Optim Test Data Management
Optim Query Tuner
(a.k.a. Optimization Expert)
DB2
Optim Data Privacy Solutions
DB2 Performance Expert and Extended Insight Feature
Optim pureQuery Runtime
Optim Database Administrator
DB2 Audit Management Expert
Database Encryption Expert

8. InfoSphere Data Architect
InfoSphere Data Architect is a collaborative, data design solution to discover, model, relate, and standardize diverse data assets.
Key Features
Create logical and physical data models
Discover, explore, and visualize the structure of data sources
Discover or identify relationships between disparate data sources
Compare and synchronize the structure of two data sources
Analyze and enforce compliance to enterprise standards
Support across heterogeneous databases
Integration with the Rational Software Delivery Platform, Optim, IBM Information Server, and IBM Industry Models
Rational Data Architect is more than a data modeling tool. It is also a:
-documentation tool. It helps you to create diagrams of existing database structures
-Information Integration tool. Helps to define federation concepts
-XML mapping tool. Map database schemas to SOA structures
-Code Development tool. Create valid DB2 SQL code. IBM Data Studio is the product that does all this outside of RDA.
-Traceability tool. Know why, what and when for every change.
New release features integrations with IBM Rational Software Architect, Eclipse 3.2 and IBM Information Server; additional mappings and expanded support for XML, DB2 V9, Sybase, Informix and mySQL.

9. Visualization Customizable Data Viewing and Reporting Diagramming
Graphically visualize logical and physical models using the customizable data diagramming capabilities
Reporting
Out-of-the box reports as well as fully customizable reports with flexible formats; HTLM, PDF and BIRT
Data Browsing
Browse and sample data using the data browse and sample content features
Data Editing
Edit and change data using the single table editor for all supported DBMS platforms

10. Automate Data Design via Model-driven Transformation
Rational Software Architect
Built-in transformation
Compare and sync facilitates merge
SOLUTION
ARCHITECT
UML
WebSphere Business Modeler
InfoSphere Data Architect
Data Studio Administrator
XSD
PDM
INTEGRATION
DEVELOPER
DATA ARCHITECT
DATABASE ADMINISTRATOR

11. InfoSphere Foundation Tools Integration
Data Architect
Industry Data Models
Model, Link,
Generate Tables
import
Databases, files, etc.
on all platforms
import
(business terms)
import
(physical models)
Business Glossary
Information Analyzer
Define Terms,
Expose to any
Application,
Assign Stewards
Profile, Define
Data Rules,
Monitor
Metadata Workbench
link
(terms to columns)
InfoSphere Data Architect is also a member of the InfoSphere Foundation Tools, a set of tools focused on getting a common understanding of your data. They talk about these as “foundation tools” because understanding your data is fundamental to delivering trusted information assets. Each of these pieces is modular and there are no requirements to begin at a particular point. The following flow is one example of how an organization might deploy the Foundation Tools to fit a new Data Warehousing project.
The process starts with defining a suitable data model. Organizations can import this information from the IBM Industry Data Models (available in InfoSphere Data Architect), which include a glossary, logical and physical data model. The glossary models contains thousands of industry-standard terms that can be used to pre-populate InfoSphere Business Glossary for enterprise usage. Organizations can modify and extend the IBM Industry Data Models to match their particular business requirements. After the data models are defined and the business context is applied, analysts profile and understand the source systems that will be used to populate the new target data model. During the profiling process, analysts can also create and define additional new business terms as needed to describe the data sources—if these business definitions were not previously defined by the IBM Industry Data Models. The analyst is now ready to create the mapping specifications, which are input into the ETL jobs for the new data warehouse. Using the business context and profiling results, the analyst defines the specific transformation rules necessary to convert the data sources into the correct format for the new target data model. During this process, the analyst not only defines the specific business transformation rules, but also can define the direct relationship. between the business terms and their representation in physical structures. These relationships can also be published directly to InfoSphere Business Glossary for consumption and to enable better understanding of the business to technical asset relationship. The business specification now serves as historical documentation. Throughout this process, metadata is generated and maintained as a natural consequence of using each of the Foundation Tools. InfoSphere Metadata Workbench can be used to query, analyze and report on these information relationships.
link
(terms to business rules)
view
(profiling results)
View IS Lineage,
Relationships
& Perform Impact
Analysis
Define Source
to Target Business
Specifications
FastTrack

12. Archiving: Key Requirements
Archive Complete Business Object
Apply Functional Condition Checks
Accommodate Business Requirements
Archive associated File Attachments
Audit-Ready Snapshot in Time
Ensure “Full Lifecycle Archiving”
Support data retention policies as per ILM business requirements
Multiple formats – DBMS, File
Storage options – hardware targets, tiers
Automate enforcement of retention & disposal policies
Universal Access to Archived Data
Native application access
Application independent access
Combined reporting of Active and In-Active Data

13. 1. Identify and Archive Complete Business Object
What is a “complete business object?” Why is it important to capture a complete business object? Business objects represent the fundamental building blocks of your application data records. From a business perspective, for example, a business object could be a payment, invoice, paycheck or customer record. From a database perspective, a business object represents a group of related rows from related tables across one or more applications, together with its related “metadata” (information about the structure of the database and about the data itself). EDM solutions that capture and process the complete business record thus create a valid snapshot of your business activity at the time the transaction took place – an “historical reference snapshot.”
So, when you archive a complete business object, you create a standalone repository of transaction history. If you are ever asked to provide proof of your business activity (for example, if you receive an audit or e-discovery request), your archive represents a “single version of the truth.” You can simply query the archive to locate information or generate reports.
Some vendor solutions do not archive a complete business object. Rather, they separate the business object into two parts: the transaction line detail and the associated master and reference information. Then, they move the transaction line detail records to a separate database. But a database of transaction detail records does not represent a “single version of the truth” because the details are separated from their master information – they have no business context.
In order to generate meaningful business reports, the user must re-associate the archived transaction details with their related parent rows from the original the production system. A lot of things can go wrong in this scenario. For example, the links between transaction detail and parent rows are sometimes broken. This means that you have created orphan rows in your database.
Federated object support means the ability to capture a complete business object from multiple related applications, databases and platforms. For example, Optim can extract a "customer" record from Siebel, together with related detail on purchased items from a legacy DB2 inventory management system. Federated data capture ensures that your data management operations accurately reflect a complete, end-to-end business process. Only Optim provides federated object support.
Several techniques available:
-- Import from database catalog or InfoSphere Data Architect
-- Deduce from SQL activity (Data Relationship Analyzer)
-- Detect patterns in the data itself (Exeros acquisition)
-- Pre-built application aware models (Sieble, Oracle Financials, PeopleSoft, SAP, etc.)

14. Oracle e-Business Suite General Ledger Archive Details / Complete Business Object

15. Siebel Basic Activities Archive Detail
This slide shows that through the use of an Access Definition we can determine which of the related tables to S_EVT_ACT to archive for reference, delete from the database, and also avoid in our archive process. The AD allows us to take the complicated Siebel data model and be able to
Slide shows the relationship between the activity table, S_EVT_ACT, and other its related tables in the Siebel data model. The tables shown in yellow will have records removed from the database during the archive process that fit the criteria for archiving. The tables shown in orange will have records selected for the archive process that relate to activity records, but the records will not be removed from the database during archive. The records will be selected to be included in the offline archive file to maintain the referential integrity to the activity records for a restore process. The tables shown in blue are will be ignored during the archive process. These tables are generally not part of the call center application and are specific for verticals. The tables shown in green will be archived as reference tables. This means that the entire table will be stored offline, but the records will not be removed from the database.

16. Customization of Access Definitions
Optim Application Solution
Business Object Delivered
“out of the box”
Customer’s
Custom Tables
Rocky to demonstrate adding table to AD
Site Specific Archive
Template Customization

17. 2. Information Lifecycle Management Support
Current
Data
1-2 years
Active
Historical
3-4 years
Online
Archive
5-6 years
Offline
Archive
7+ years
Non DBMS
Retention Platform
ATA File Server
IBM RS550
EMC Centera
HDS
Offline
Retention Platform CD
Tape
Optical
Archive
Database
Production Database
Archive
Restore
On the left, you have one to two years worth of “current” financial data in your production database. Your monthly and quarterly period processing performs well, as do your yearly comparison reports.
In the middle, you have another few years of financial data in an active archive database that provides full access to your data with mid-level performance.
You can archive even older data to a flat-file format to take advantage of more cost-effective storage options, such as HP StorageWorks™, EMC Centera™ or NetApp NearStore® with SnapLock™. If you need access to data stored in one of these storage alternatives, you should be able to access the data directly and/or selectively restore some of the data to the active archive database.
Finally, for the oldest data that you must retain for a decade or two or more, having the ability to store these flat files in an offline archive tape may help reduce costs even further.
This diagram, of course, would be adjusted to meet your company’s unique storage requirements and strategies.
Active Archive Solutions are an essential component of ILM, providing the ability to store archived data on the most cost-effective storage alternative, according to its business value and access requirements.
Every company values data differently. Understand how your data is valued and spend as much, and only as much, as you need to provide data access.

18. 3. Universal Access to Data
Current
Data
1-2 years
Active
Historical
3-4 years
Online
Archive
5-6 years
Offline
Archive
7+ years
Non DBMS
Retention Platform
ATA File Server
IBM RS550
EMC Centera
HDS
Offline
Retention Platform CD
Tape
Optical
Archive
Database
Production Database
Archive
Restore
On the left, you have one to two years worth of “current” financial data in your production database. Your monthly and quarterly period processing performs well, as do your yearly comparison reports.
In the middle, you have another few years of financial data in an active archive database that provides full access to your data with mid-level performance.
You can archive even older data to a flat-file format to take advantage of more cost-effective storage options, such as HP StorageWorks™, EMC Centera™ or NetApp NearStore® with SnapLock™. If you need access to data stored in one of these storage alternatives, you should be able to access the data directly and/or selectively restore some of the data to the active archive database.
Finally, for the oldest data that you must retain for a decade or two or more, having the ability to store these flat files in an offline archive tape may help reduce costs even further.
This diagram, of course, would be adjusted to meet your company’s unique storage requirements and strategies.
Active Archive Solutions are an essential component of ILM, providing the ability to store archived data on the most cost-effective storage alternative, according to its business value and access requirements.
Every company values data differently. Understand how your data is valued and spend as much, and only as much, as you need to provide data access.
Report Writer
XML
ODBC / JDBC
Native Application
Universal Access to Application Data
Application Independent Access

19. Key Capability - Federated Data Support
Complete Business Object Captures End to End Business Process
Optim offers federated data operations, meaning that it accurately captures, extracts and archives data from multiple related applications, databases and platforms. For example, Optim can extract a "customer" record from Siebel, together with related detail on purchased items from a legacy DB2 inventory management system and payment detail from Oracle Financials. Federated data capture ensures that your data management operations accurately reflect a complete, end-to-end business process, like “order to cash.”
Reporitory Demo, we need a soup to nuts AD that can be demo’d.
Custom Application
Siebel
Other apps / any DBMS

20. Sample Detailed Viewing Screen (Siebel)

21. Optim Test Data Management Solution
Streamline building test databases, improve application quality, cut IT costs and accelerate solution delivery
Accelerate time to market
Create “right sized” test databases
Extract referentially intact subsets
Compare baseline data against test results to pinpoint and resolve application defects faster
Edit test data to create error and boundary conditions
Easily refresh, reset and maintain test environments
Cut storage costs
Reduce storage requirements by using smaller subsets for testing
Enable compliance
De-identify or mask data
Production or Clone
Extract
Dev
We begin with a production system or clone of production
<Click> Optim extracts the desired data records, based on user specifications, and safely copies them to a compressed file
<Click> IT loads the file into the target Development, Test or QA environment.
<Click> After running tests, IT can compare the results against the baseline data to validate results and identify any errors. They can refresh the database simply by re-inserting the extract file, thereby ensuring consistency.
Manage test data across enterprise : all related applications, databases, and platforms
Extract referentially intact subsets of data (including complete business objects)
(ex. payments, vouchers, paychecks)
Dynamically create destination environment; insert or load data to target
De-identify or mask data in non-production environments
Edit test data to create error and boundary conditions
Compare baseline data against successive test run results to identify errors that would have otherwise gone undetected
Optim QA
Test

22. Enterprise Challenge: Data Privacy Optim Data Privacy Solution
Application-aware masking capabilities ensure data is realistic but fictional
Prepackaged data masking routines make it easy to de-identify elements
E.g. credit card numbers & addresses
Data is masked with realistic but fictional information
A comprehensive set of data masking techniques to transform or de-identify data, including:
String literal values
Character substrings
Random or sequential numbers
Arithmetic expressions
Concatenated expressions
Date aging
Lookup values
Intelligence

23. Aligning Around Data Privacy
Define privacy policies
Data Architect
Analyse use of sensitive data
Provision fictionalized test data
Developer
Here is an example of model-driven governance based on a fictitious example. An e-retailer, JK Country wants to expand its channel to other online sellers. Critical to the development process is compliance to PCI standards, so real account numbers and credit cards cannot be used in development and testing.
In the data model, our data architect now has the ability to define privacy rules consistently for the enterprise. He can define once data definition for credit card numbers, account numbers, contact information, etc. and the rules for masking them, These can then be reused as models and model changes are defined.
Now our data architect models additions and changes to the business objects reflecting the new partner channel. Then associates the changes with the appropriate privacy models, generates the physical data model and database objects. When ready to test the application, the architect simply publishes all the definitions for test data creation to the Optim Test Data Management and Privacy Solution including the business object definitions (the physical model with both the explicit and implicit relationships), the sensitive fields and their data masking rules, and subset definitions to constrain the test dataset sizes.
Now the tester can use test data that directly reflects production characteristics , but safeguards customer privacy and complies with PCI standards.
Define policies once and reuse
Flow definitions to team members
Drive consistent practices around privacy
Tester

24. Deploy without Disruption Optim Database Administrator
Enhance DBA productivity and accelerate complex changes while ensuring data and process integrity
Automatically manages dependent objects
Saves and restores data for extended alters
Generates needed maintenance commands
Reduce errors and downtime
Provides impact analysis visualization
Factors in impacts and side effects automatically
Automatically generates commands to undo changes
Foster teamwork and enhance auditability
Integrated into Rational Software Delivery Platform
Document changes for collaboration and audit
Develop
Design
Deploy
Optimize
Operate
Govern
Models
Policies
Metadata
Deploy
Install, configure, change, promote
Deploy – Install, configure, change, and promote applications, databases and services into production
Overall, the change management process has been prone to error, tedious and slow. For example, DBAs must often spend hours analyzing objects and dependencies before deciding on a course of action. And after all of the ramifications of the changes are known, several more manual steps are needed to preserve database objects such as tables, data, application bindings and permissions.
Optim Change Manager akes it fast and easy for DBAs to model the target database, compare two sets of objects to see where they differ, identify dependent objects, migrate a set of objects to the target, or redefine the target objects to be like the source. Changes automatically roll through all related objects.
Over time, the DBA's ability to control database performance has eroded, or at least become much harder, as additional layers emerge in the application stack. SQL is generated by frameworks not programmers, database connections are managed by systems administrators not DBAs, and dynamic SQL complicates security management.
DBAs like the added control they can gain from using static SQL, and now it is possible to gain that control easily over existing Java applications by using our new client optimization technology delivered in Data Studio Developer and Data Studio pureQuery Runtime 1.2. This is a new approach to performance optimization that focuses on how to optimize database access from the database client rather than only looking within the database engine. Client optimization captures SQL from Java applications and enables administrators to bind the SQL to DB2 for static execution without changing a single line of application code. All of the gain of static SQL - making response time stable, reducing security risks, increasing throughput – and none of the pain.
Future enhancements include plans to give DBAs control over performance knobs in the application server and to make client configuration manageable – finally.
Database Administrator

25. Optim Database Administrator
Improves DBA productivity and reduces application outages by automating and simplifying complex DB2 structural changes including change-in-place as well as database migration scenarios.
Models, automates and deploys complex schema changes
Identifies dependencies and analyzes impact to mitigate deployment risk
Preserves data, dependent objects, privileges, and application binding
Synchronizes, copies, clones, or merges database schema definitions from the source to the target
Documents changes for collaboration and audit
Enables undo or restart -- if needed
Manages common database maintenance tasks
Differentiated features:
We can customize changes and migrate in a single change
We have the most flexible data preservation options
We can incorporate IDA physical data models

26. High Performance Unload
2626
2626
High Performance Unload
What is it?
A utility for unloading data at very high speed (minimum wall clock time). Also can extract individual tables from DB2 backups. While unloading, it can repartition the data for even faster, parallel reloading on a different system which has a different partitioning layout from the one being unloaded from.
What’s its value to customers?
Reduced costs by speeding up operations which require the unloading of large amounts of DB2 data.
Been used in a number of disaster recovery situations by extracting individual tables from DB2 backups.
Speeding up the process of migrating a DB2 server to new hardware.
New features and functions:
System migration performed entirely by HPU. The unloading and repartitioning of the data, sending of it across the network and loading using DB2 LOAD command all handled by HPU.
Today, you have to build complicated scripts to do this process
Improved autonomics. One memory tuning parameter instead of several. Tell HPU how much memory it can use, and HPU will figure out the best way to use it.
Simplification of syntax by eliminating some keywords for specifying certain HPU functions through the use of “templates” to define the output file names.
Existing syntax also supported for backward compatibility 26
Modified 12/07/2006

27. Support for Oracle in Optim Development Studio

28. Design, Develop, and Deploy for Oracle Unified solution across DB2, Informix, and Oracle
Design – InfoSphere Data Architect
Logical models, physical models, privilege models, privacy models
Platform-specific for physical objects
Develop – Optim Development Studio
Generate data access layers
Develop and debug procedures, SQL, functions including PL/SQL
Test - Optim Test Data Manager and Data Privacy solutions
Invoke Optim TDM from Developer
Use relationship and privacy definitions from InfoSphere Data Architect
Create right-sized, fictionalized, production-like test databases
Deploy – Optim Development Studio and Optim Database Administrator
Create/manage database objects
Copy/paste objects between DB2 and Oracle
Load Oracle catalog
Edit database objects
Take context-sensitive actions
View SQL and execution results

29. Advanced heterogeneous support
IBM
ORACLE
Physical Data Modeling
Logical Data Modeling
Oracle Support
Visualize
Design Privileges
Storage and Data Partition
Advanced Code Generation
Analyze Impact
Validate

30. Visualize Oracle Data Sources
High fidelity display of the Catalog Information
Load on Demand technology
Instantaneous connection
Fast retrievals
Enable Physical Data Model transformation

31. Managing Oracle Tables
Object Properties Editor
Managing Oracle Tables
Tree-Based Representation
SQL and Results of the Execution
Context-Sensitive Actions

32. Oracle Privileges Support
Physical Model enables Design capability
Grant appropriate privileges and roles to users
More detailed display allows finer-grained control

33. Oracle Storage Storage properties display
Ability to design Table Spaces

34. Oracle Data Partitions
Table and Materialized View support
Range partition
List partition
Hash partition
Composite partition

35. PL/SQL Development Integrated Query Editor support Content Assist
Parser support (2009) with Error reporting

36. Data & Object Movement Value Proposition – Key Features
Provide for the copying of database objects and data between homogeneous and heterogeneous databases within Data Studio
Key Features
Copy objects at various levels – complete databases to a fixed number of rows from a single table
Action performed in Data Source Explorer – Copy/Paste and Drag/Drop
Can automatically copy rows from related tables using:
RI in database
Data Architect model
Optim application models
Data Relationship Analyzer
Can optionally annonymize the rows using Optim Test Database Manager

37. Optim Query Tuner and Option Workload Tuner for z/OS

38. Optim Query Tuner Key Features at a Glance
Query Tuner User Interface
Eclipse
Workload Advisors
Query Based Tools and Advisors
Workload
Report
Capture
Workload
Environ
Query Tools
Query Advisors
Formatter
Annotation
Capture Query
Environ.
Index
Advisor
Query
Advisor
Workload
Statistics
Advisor
Workload
Index
Advisor
Workload
Query
Advisor
Access Path
Graph
Query
Report
Visual Plan
Hint
Statistics
Advisor
Access Path
Advisor
Workload
Control Center
Profile Monitor
Database

39. IBM Optim Query Tuner key functions
Query Tuner (single Query)
Query Workload Tuner for DB2 for z/OS
Query Formatter
Yes
Query Annotation
Access Plan Graph
Visual Plan Hint
Query Advisor
Access Path Advisor
Statistics Advisor
Index Advisor
Query Reports
Query Environment Capture
Workload Query Advisor
Workload Statistics Advisor
Workload Index Advisor
Workload Query Reports
Workload Environment Capture
Profile Based Monitor

40. Database Support by Product (as of today)
DB2 for z/OS
DB2 for LUW
DB2 for i
IDS
Oracle
SQL Server
Sybase
MySQL
Data Studio a a a a
alphaworks derivative
Data Studio Administration Console a a
OpenAdmin Tool
InfoSphere Data Architect a a a a a a a a
Optim Development Studio a a a a a
Optim pureQuery Runtime a a a a a
Optim Query Tuner
a + Workload a
Optim Database Administrator
DB2 Admin Tool/Object Compare a
Optim Test Data Management a a a a a a a
Optim Data Privacy a a a a a a a
Optim Data Growth a a a a a a a
DB2 Performance Expert
Omegamon a
DB2 PE Extended Insight a
Database Encryption Expert
EE for DB2 and IMS a a
Vormetrics
Vormetrics
Vormetrics

41. Future Technology

42. Configuration Change Management
Business Scenario – Database server change tracking
Enterprise with 100s or 1000s of applications, databases
Applications/databases undergo lots of change during lifecycle
Logical and physical database schema changes
database configuration parameter and privilege changes
Change can negatively impact business critical applications
Unintended, unauthorized change: quickly identify & rectify
Intended, authorized change: need to identify changes with negative impact
Biggest Pain Point
Did somebody change something? … Who changed it and why?
Objectives:
Automatically detect changes to schema or configuration parameters
Identify which changes took place during a given date range
Allow simple compare/synch of these attributes across servers

43. Configuration Change Management
Business Scenario –client configuration management
Enterprise with 1000s of clients
Applications/databases undergo lots of change during lifecycle
Spread geographically, different time zones; mobile, installed on laptops
Not locked down, subject to end users “twiddling” their PC apps, settings, etc
Data clients supporting many critical business activities
DB app design, development, test; prod app deployment and operation
Biggest Pain Point
What is the state of the 1000s of data clients, and how to easily update them?
Objectives:
Automatically capture client configuration settings
Centrally manage settings via a managed repository
Allow simple compare/synch of these attributes across clients

44. Optim Database Maintenance Manager
A database administration auto-pilot that schedules repetitive work into you maintenance calendar.
A policy-driven offering that not only automates routine maintenance, but optimizes the planning and execution of such tasks
Goals
Reduce time spent performing space management by DBAs by 50%
Reduce time spent reorganizing data by 80% and improve disk efficiency
Eliminate the task of determining the frequency for statistics refresh/collection
Eliminate backup planning with a “recovery policy”
Insure that I can recover an application (set of DBMS objects) within twenty minutes to any point in time in the last week

45. Planning Calendar

46. Manage by Exception with DBA Choice of Automation
Heatchart – Overall Health Status
Disk Efficiency threshold reached
More than 30% of allocated space in database objects
could be returned to the system. Choose an option:
Change alert threshold
Set 5% - 99%
Reclaim space now
Run reorg w/few common opts
Schedule reclaim space task
Schedule one time, or
Schedule repeated task
Alert List – Biggest Problems First
Automate this task
Define Policy
Specify allowable times
Specify not-allowed times
Specify few common opts
Disk Efficiency
“Engage”
Alerts: Disk Efficiency, Data Clustering, Data Recoverability, Statistics Quality, Task Scheduling

47. IBM Data Studio www.ibm.com/software/data/studio FAQs / Tutorials
Downloads
Forum / Blogs
Join the IBM Data Studio user community

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