for an archive log that is older than the oldest image copy unless other types of backups, not just image copies, are also used for recovery.

Image copies and archive logs are recorded in DB2 and optionally cataloged in an ICF Catalog. Physical deletion of the data sets removes them from the ICF catalog. This physical deletion must be coordinated with a DB2 cleanup procedure to remove obsolete information in SYSIBM.SYSCOPY. This cleanup is performed with the MODIFY utility.

The deletion from the MVS catalog and the DB2 catalog of image copy data sets must also be synchronized with the deletion of the log data sets from the MVS catalog and from the BSDS.

3.6.5 Other Copies

DB2 table and index spaces can be copied by other utilities, not under DB2 control. This can include both IBM (DFSMSdfp, DSN1COPY) and non-IBM products. DB2 has a limited support for these copies. The copies must be restored outside of DB2, and the user must execute a RECOVER with option LOGONLY to apply the changes not reflected in the external copy in order to maintain data integrity and consistency.

3.7 Other DB2 Data Sets

Apart from table spaces and recovery data sets, DB2 requires also data sets to store the product (libraries), to manage its execution (Clists, JCL procedures, and work data sets). These data sets are standard MVS data sets, either partitioned or sequential.

3.7.1 DB2 Library Data Sets

DB2 uses a set of library data sets to store distribution code, executable code, ISPF data sets, TSO data sets, SMP/E data sets, and so on. These library data sets are all MVS partitioned data sets (PDS). These data sets are defined during the SMP/E installation of the DB2 product.

3.7.2 DB2 Temporary Data Sets

DB2 also uses temporary data sets. Examples are utility work and external sort data sets. Most temporary data sets are standard sequential files. These data sets are defined explicitly in utility JCL or are created dynamically at utility execution time.

To allocate these data sets, DB2 has internal default attributes that can be overridden by the user in the JCL stream.

3.8 DB2 Data Sets Naming Conventions

This section describes the naming standards used by DB2 for its data sets.

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IBM 5655-DB2, 5695-DF1 manual Other DB2 Data Sets, DB2 Data Sets Naming Conventions, Other Copies, 1 DB2 Library Data Sets

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.