8.4 Positioning for Implementation

For the DBA, there are a number of items to be considered as prerequisites for the process.

8.4.1 Prerequisite Planning

Categorize each data type into separate groups

The usage characteristics and service requirements will have to be considered for each data type, and will include:

•Response time performance

•Accessibility and availability operations

•Initial sizing of data sets and future growth

•Difference between production and user/testing data sets

DB2 STOGROUPs Mapping to SMS Storage Groups

To ensure consistency, it is recommended that DB2 STOGROUPs are converted to equivalent SMS Storage Groups.

Identify DB2 Data Sets Eligible for HSM Management

Decide for which groups of DB2 data DFSMShsm should have the authority to migrate or backup. For example, production databases, Active logs, System libraries, and BSDS are candidates for NO MIGRATION due to their critical status.

Set DSNZPARM to have DFSMShsm automatically recall DB2 data sets during DB2 access. Set RECALL to Y. Set RECALLD, the maximum wait for DFSMShsm to complete recreation of data sets on the primary disk, based on testing with typical end user databases.

Use of Guaranteed Space

As part of the initial phase,the GUARANTEED SPACE option can be used to position data, particularly production tablespaces, and active logs. Once satisfied with the allocation of the data sets, it is recommended that this option be removed, so future allocations can be under the sole control of SMS.

Guaranteed space is recommended for use only during the migration period (from DB2 managed to SMS managed) which should be kept short to prevent failures on initial allocation and data set extension. Unlike non-SMS, SMS does not retry allocation on another volume if the requested space cannot be satisfied on the specified candidate volume.

Guaranteed space is not useful unless the space requirements are relatively small and static.

Ensure That All Data Sets Are Cataloged

SMS requires that all data sets are cataloged in ICF catalogs, enabling the use of standard catalog search routines (VSAM and CVOL catalogs are no longer supported after 1999). For further information see, DFSMS/MVS Managing Catalogs, SC26-4914.

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IBM 5695-DF1, 5655-DB2 manual Positioning for Implementation, Prerequisite Planning
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5695-DF1, 5655-DB2 specifications

IBM 5655-DB2 and 5695-DF1 are significant components within the IBM software ecosystem, predominantly focusing on data management and integration solutions. These offerings cater primarily to enterprise environments that require robust database management systems and associated frameworks to maintain and manipulate data efficiently.

IBM 5655-DB2 is a well-known relational database management system (RDBMS) that excels in managing large volumes of structured data. Its architecture is designed to support high availability, scalability, and performance, crucial for businesses operating in today’s data-driven world. Some of its main features include advanced indexing capabilities, support for complex queries, and dynamic workload management. Additionally, it provides strong concurrency controls, which enable multiple users to access and manipulate data simultaneously without compromising data integrity.

One of the key characteristics of DB2 is its support for various data types, including JSON and XML, making it versatile for modern applications that generate data in diverse formats. It also features robust security mechanisms to protect sensitive data, aligning with compliance standards across industries. Integration with analytics tools further allows businesses to derive insights from their data, enhancing decision-making processes.

On the other hand, IBM 5695-DF1, also known as the InfoSphere DataStage, is a powerful data integration tool that facilitates the extraction, transformation, and loading (ETL) of data from various sources to target systems. It empowers organizations to streamline their data flows, ensuring that clean, consistent information is available for analysis and operational use. Key features of 5695-DF1 include a user-friendly graphical interface that enhances developer productivity and a rich set of connectors for numerous data sources, enabling seamless data integration.

DataStage also supports real-time data integration, allowing businesses to keep their data synchronized across multiple platforms. Its parallel processing capabilities dedicatedly optimize performance, enabling organizations to handle vast datasets efficiently. It incorporates data quality tools that help in validating and cleansing data before it is used for decision-making processes.

Both IBM 5655-DB2 and 5695-DF1 are part of a broader strategy to accommodate the evolving landscape of data management. Businesses leverage these technologies to enhance their data architectures, fostering agility and competitive advantage in their respective markets. Their integration capabilities, along with a focus on security and scalability, position them as vital assets in modern enterprise environments. Whether managing critical data within a database or ensuring seamless data flow across systems, these IBM offerings provide a comprehensive approach to handling complex data challenges.
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