•DB2 data sharing performance improvement for open/close of data sets (especially beneficial during DB2 start-up) with Enhanced Catalog Sharing (ECS); ECS reduces the path length and supports the ICF shared catalog on the coupling facility.

You can check the Appendix section G.4, “Web Sites” on page 242 for sites on DB2 and DFSMS reporting the most current information on the supported functions.

2.1.2 Managing DB2 Data Sets with DFSMS

The DB2 adminstrator can use DFSMS to achieve all the objectives for data set placement and design. DFSMS has the necessary flexibility to support everything the DB2 administrator may want. There is no reason whatsoever for not taking advantage of DFSMS for DB2 data sets.

To achieve a successful implementation, an agreement between the storage administrator and the DB2 administrator is required so that they can together establish an environment that satisfies both their objectives.

2.1.3 Examples for Managing DB2 Data Sets with DFSMS

Examples are shown to describe one possible way to manage DB2 data sets with DFSMS. These examples are not supposed to be a recommendation. The examples are shown to give an idea on the possibilities that DFSMS offers for DB2. Each example is just one out of many choices of how a medium to complex installation may approach the implementation of DB2 data sets with DFSMS.

Many installations may find a simpler implementation more adequate, while others may want to have a more specific management than the one shown.

2.2 DB2 and Storage Servers

DB2 has some special requirements in the way its storage objects are defined and utilized. Disk technology has evolved introducing RAID architecture, large cache, virtual architecture. DBAs and storage administrators need to agree on common actions in order to take advantage of the available enhancements.

2.2.1 Data Placement

With smaller disk devices, without cache, data locality was important for performance, to reduce seek and rotation times. The new disk architectures, with concepts like log structured files and with cache in the gigabyte sizes, have a noticeable impact on database physical design considerations. Conventional database design rules based on data set placement are becoming less important and can be ignored in most cases.

2.2.2 Large Cache

Most storage servers with large cache (greater than 1 GB) ignore the bypass cache or inhibit cache load requests from the application. They always use the cache; however, they continue to take into account the specifications of usage from the applications by just scaling down or up the track retention into the cache for reuse.

6Storage Management with DB2 for OS/390

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IBM 5655-DB2 DB2 and Storage Servers, Examples for Managing DB2 Data Sets with Dfsms, Data Placement, Large Cache
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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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