Logical processing, which is data set oriented. This

 

means it performs against data sets independently of the

 

physical device format.

 

Physical processing, which can perform against data

 

sets, volumes, and tracks, but moves data at the

 

track-image level.

PRINT

Used to print both VSAM and non-VSAM data sets, track

 

ranges, or a VTOC.

RELEASE

Releases allocated but unused space from all eligible

 

sequential, partitioned, and extended format VSAM data

 

sets.

RESTORE

Data can be restored to disk volumes from DFSMSdss

 

produced dump volumes, as individual data sets, an

 

entire volume, or a range of tracks. Again, logical or

 

physical processing can be used.

4.3.2.2 Filtering

The DSS component uses a filtering process to select data sets based upon specified criteria. These include:

•Fully or partially qualified data set name

•Last reference data

•Size of data sets

•Number of extents

•Allocation type (CYLS, TRKS, BLKS)

•SMS Class

4.3.2.3 Converting Data to SMS

Data sets can be converted by data movement using the COPY or DUMP and RESTORE functions. However, it is possible and quite common to convert data in place, without the need for movement, by using the CONVERTV command. This allows:

•The preparation of a volume for conversion by preventing new data set allocations.

•Conversion simulation, to test for any data sets that do not match the expected criteria.

•Actual conversion of a volume to SMS management.

•Converting a volume from SMS management, for example, as part of a Disaster Recovery scenario.

4.3.3 DFSMShsm

The Hierarchical Storage Manager (HSM)3 component provides availability and space management functions. For more information, please refer to the DFSSMShsm Primer, SG24-5272.

HSM improves productivity by making the most efficient use of disk storage, primarily by making better use of the primary volumes. It performs both availability management and space management automatically, periodically, and

3Other Vendor products exist which have similar capabilities, and can be used in place of HSM, although this may restrict full exploitation of ISMF.

28Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual DFSMShsm, Filtering, Converting Data to SMS
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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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