IBM 5655-DB2, 5695-DF1 manual Naming Standards, Examples

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hardware capabilities. For a few specific and exceptional cases, the storage class GUARANTEED SPACE option can be used. As the Storage Group definition exists only in SMS tables, its logical mapping onto volumes can be redistributed when a hardware change occurs, without any DB2 application outage, provided that DB2 and storage administrators act in concert (in particular for allocating new DB2 objects). Notice that redefining a Storage Group does not require application outage.

5.4 Naming Standards

To assist in the successful implementation of SMS, a vital requirement is that of generating and adhering to a constructive and meaningful naming standard policy. The more formal the policy, the easier it is to maintain the ACS routines. This can be of particular use in the formation of policies for Data and Management Classes.

These policies can:

Simplify service-level assignments to data.

Facilitate writing and maintaining ACS routines

Allow data to be mixed in a system-managed environment while retaining separate management criteria

Provide a filtering technique useful with many storage management products

Simplify the data definition step of aggregate backup and recovery support

Most naming conventions are based on the high level qualifier (HLQ) and low level qualifier (LLQ) of the data set name. Additional levels of qualifiers can be used to identify generation data sets and databases. They can also be used to help users to identify their own data. It must be stressed that each installation has different naming conventions, and therefore requires careful planning.

DB2 systems generate their own data set names, so it is necessary to ensure that the storage administrator understands the implications, and is able to define a policy and build the ACS routines so they incorporate this feature.

5.5 Examples

Examples of SMS constructs for DB2 data sets are described in this book:

Chapter 6, “Managing DB2 Databases with SMS” on page 47.

Chapter 7, “Managing DB2 Recovery Data Sets with SMS” on page 63.

A test implementation of these examples is shown in:

Appendix A, “Test Cases for DB2 Table Space Data Sets” on page 161.

Appendix B, “Test Cases for DB2 Recovery Data Sets” on page 185.

46Storage Management with DB2 for OS/390

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IBM 5655-DB2, 5695-DF1 manual Naming Standards, Examples

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.