are not duplexed by the database management system. The use of fast write and cache facilities will provide increased performance for databases and recovery data sets.

DFSMS/MVS enhances the backup and recovery utilities provided by the DB2 system as follows:

DFSMSdss uses concurrent copy capability to create point-of-consistency backups.

DFSMShsm backs up system data sets and end-user database data that is less critical than production database data.

DFSMShsm carries out direct migration to migration level 2 for archived recovery data sets on disk storage.

Testing/end user databases can be migrated by DFSMShsm through the storage hierarchy, based on database usage.

8.3SMS Management Goals

The aims and goals for managing SMS will differ for each installation, although there are areas where working practices will have a common ground. These areas can be categorized as follows:

Positioning for future enhancements to both DFSMS/MVS and DB2.

Improving the storage management of data:

Use of SMS to simplify JCL allocation.

Maintain support for disk and data storage growth without increasing staff levels.

Use of SMS to simplify data movement.

Improve disk storage efficiency by increasing space utilization through better use of allocation control.

Bring private disk volumes under centralized control.

Segregate production from other data.

Reduce disk storage requirements by migration of inactive data.

Improving the DB2 aspects of data management:

Spread partitions for a given table/PI.

Spread partitions of tables and indexes likely to be joined.

Spread pieces of NPIs.

Spread DB2 work files, and temporary data sets likely to be accessed in parallel.

Exploitation of hardware such as RVA.

Physical striping of data.

Avoiding UCB contention.

Use only what disk space is actually needed.

76Storage Management with DB2 for OS/390

Page 98
Image 98
IBM 5655-DB2, 5695-DF1 manual SMS Management Goals

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.