ATTRIBUTE

COMMENT

 

 

Availability objectives

- Accessibility

 

- Availability

 

- Guaranteed space

 

- Guaranteed synchronous write

 

 

Caching

- Weighting

 

 

5.3.3Management Class

5.3.3.1Description

Prior to SMS, DFHSM managed the data sets at volume level, applying a standard management criteria for all data sets on a given volume. Although this is still applicable for non-SMS managed data sets, with the introduction of SMS, the control is carried out at data set level by use of the Management Class.

The Management Class is only assigned if the Storage Class construct selects a valid Storage Class, as can be seen in Figure 12 on page 37. For each data set, it consists of attributes that determine the necessary control of:

•Retention

•Backup

•Migration

•Expiration

•Management of generation data set groups (GDGs) and their data sets (GDSs)

•Space release

When assigned to a data set, the Management Class expands on attributes previously specified by JCL, IDCAMS DEFINE and DFHSM commands.

If an attribute is altered on a particular Management Class, the change is applied to previously created data sets which have the same attribute, when the next management cycle commences. A default Management Class can be specified to cater to those groups of data sets that do not belong to a Management Class, thereby ensuring that all SMS managed data sets have a set level of availability.

5.3.3.2 Planning for Implementation

A Management Class should be generated for each group of data sets that have similar availability requirements. To identify and reference a particular Management Class, a unique one to eight character name should be used, for example, MCDB21.

Before defining Management Classes, a number criteria should be established by the storage administrator. Based upon this information, the storage administrator defines Management Classes that provide a centralized storage environment.

This includes the decision on whether to allow users the ability to assign Management Classes explicitly by using JCL, as well as implicitly by the ACS routines.

Because most production database data has specialized backup and recovery requirements, it is recommended that standard DB2 system utilities be used to perform backup and recovery. However, consider using DFSMSdss or

Storage Management with DFSMS 41

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IBM 5695-DF1, 5655-DB2 manual Management Class
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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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