•Automated disk space management

SMS has the facility to automatically reclaim space which is allocated to old and unused data sets. Policies can be defined that determine how long an unused data set are allowed to reside on level 0 volumes (active data). Redundant or expired data can be removed by the process of migration to other volumes (disk or tape), or the data can be deleted. Allocated but unused space can be automatically released, which is then available for new allocations and active data sets.

•Improved data availability management

With SMS, different backup requirements can be provided for data residing on the same primary volume. Therefore, all data on a single volume can be treated independently. The HSM component can be used to automatically back up data. The ABARS facility can be used to group data sets into logical components, so that the group is backed up at the same time, allowing for recovery of an application.

•Simplified data movement

SMS permits the movement of data to new volumes without the necessity for users to amend their JCL. Because users in a DFSMS environment do not need to specify the unit and volume which contains their data, it does not matter to them if their data resides on a specific volume or device type. This allows the replacement of old devices with minimum intervention from the user.

System determined block sizes can be utilized to automatically reblock sequential and partitioned data sets that can be reblocked.

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IBM 5695-DF1, 5655-DB2 manual System Managed Storage Concepts and Components
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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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