Chapter 3. DB2 Storage Objects

This chapter represents an introduction to DB2 for OS/390 (DB2 throughout this redbook) for the storage administrators interested in understanding the different types of data related objects used in a DB2 environment. Special emphasis is placed on the data sets managed directly by DB2.

3.1 DB2 Overview

DB2 is a database management system based on the relational data model. Many customers use DB2 for applications which require good performance and/or high availability for large amounts of data. This data is stored in data sets directly associated to DB2 table spaces and distributed across DB2 databases. Data in table spaces is often accessed through indexes; indexes are stored in index spaces.

Data table spaces can be divided into two groups: system table spaces and user table spaces. Both of these have identical data attributes. The difference is that system table spaces are required to control and manage the DB2 subsystem and the user data. The consequence of this is that system table spaces require the highest availability and some special consideration. User data cannot be accessed without system data or with obsolete system data.

In addition to the data table spaces, DB2 requires a group of traditional data sets, not associated to table spaces, that are used by DB2 in order to provide the appropriate high level of data availability, the back-up and recovery data sets. Proper management of these data sets is required to achieve this objective.

In summary, the three main data set types in a DB2 subsystem are:

1.DB2 back-up and recovery data sets

2.DB2 system table spaces

3.DB2 user table spaces

3.2DB2 Data Objects

DB2 manages data by associating it to a set of DB2 objects. These objects are logical objects. Some of these objects have a physical representation on storage devices. The DB2 data objects are:

•TABLE

•TABLESPACE

•INDEX

•INDEXSPACE

•DATABASE

•STOGROUP

A complete description of all DB2 objects and their implementation can be found in the DB2 for OS/390 Administration Guide, SC26-8957,in Section 2. Designing a database.

© Copyright IBM Corp. 1999

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IBM 5695-DF1, 5655-DB2 DB2 Storage Objects, DB2 Overview, DB2 Data Objects, Tablespace Index Indexspace Database Stogroup
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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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