6.2.3.1 Storage Classes

The following example Storage Classes can be used for Data Warehouse table spaces:

SCDBMED

SCDBTEST

SCDBFAST

6.2.3.2 Management Classes

The following example Management Classes can be used for Data Warehouse table spaces:

MCDB20

MCDB21

MCDB22

6.2.4Development and Test Databases

Development and test databases are not essential for immediate business needs. Their performance and availability requirements should not have priority over production databases. Some customers with permanent development and test database environments may have stricter requirements than those shown here. Test environments used for performance and capacity testing may also have stricter requirements.

6.2.4.1 Storage Classes

The following example Storage Classes can be used for development and test table spaces:

• SCDBTEST

6.2.4.2 Management Classes

The following example Management Classes can be used for development and test table spaces:

MCDB21

MCDB22

6.2.5 Summary

Table 17 on page 60 shows some examples of how the SMS Storage Classes and Management Classes can be combined to provide for different database requirements. In this table, the concepts of low, average, good, and high, represent service levels agreed upon between the storage administrator and the DB2 administrator. These examples are not meant to be exhaustive, but are intended to provide an idea on how the SMS classes can be used to manage table spaces in DB2 user databases.

Managing DB2 Databases with SMS 59

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IBM 5695-DF1, 5655-DB2 manual Development and Test Databases, Summary, Scdbmed Scdbtest Scdbfast

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.