means that a large number of image copy data sets are required and need to be managed.

Data Organization

Image Copy data sets are physical sequential data sets. Record size is 4096 (for any size of page) and the block size is typically 28672 bytes. Sample statements to execute an image copy are shown in Figure 137 on page 198 in Appendix B, section B.3, “Image Copies” on page 194.

Performance

Most image copies have no special performance requirements, but there are cases when the time to take an image copy becomes critical.

Availability

Image copies ensure user and system data integrity. Their availability is critical for DB2 system and application availability. DB2 can optionally generate up to four image copies of a table space or of a data set (for a multiple data set table space). Two of these copies are intended for a disaster recovery at a remote site.

Migration

Image copies can be created on tape, or on disk. Image copies are eligible for migration. Some installations create image copies on a pool of disks and migrate asynchronously later in order to avoid delays due to contention for tape units. If multiple image copies are created, then a technique such as that described for archive logs may be used to ensure device separation for the different copies.

Backup

Image copies are backups of system and user data. Multiple copies can be generated. A previous image copy can act as backup for the most recent one, but then more log needs to be applied during the recovery process. Additional backups improve image copy availability and more frequent image copies reduce recovery time.

7.5.1 Storage Class

This example assumes different availability and performance requirements for image copies. Because of this, two Storage Classes have been defined for image copies.

•SCDBIC

•SCDBICH

7.5.2Management Class

This examples assumes different retention cycles for image copies. This is reflected in four Management Classes:

•MCDBICD - Daily image copies

•MCDBICW - Weekly image copies

•MCDBICM - Monthly image copies

•MCDBLV2 - Secondary image copies

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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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