104.Test Case 3 - IDCAMS LISTCAT Display Extract . . . . . . . . . . . . . . . . . . . . . 174 105.Test Case 4 - Storage Class Routine Extract . . . . . . . . . . . . . . . . . . . . . . . . 176 106.Test Case 4 - Management Class Extract . . . . . . . . . . . . . . . . . . . . . . . . . . . 176 107.Test Case 4 - IDCAMS LISTCAT Extract . . . . . . . . . . . . . . . . . . . . . . . . . . . 178 108.Test Case 5 - ISMF Volume List Display . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 109.Test Case 5 - CREATE DATABASE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 110.Test Case 5 - CREATE TABLESPACE Extract. . . . . . . . . . . . . . . . . . . . . . . 180 111.Test Case 5 - ISPF Data Set List of Table Space Partitions . . . . . . . . . . . . . 180 112.Test Case 5 - ISMF Storage Group Volume Display . . . . . . . . . . . . . . . . . . . 181 113.Test Case 5 - IDCAMS LISTCAT Display Extract . . . . . . . . . . . . . . . . . . . . . 181 114.Test Case 6 - ISMF Storage Group List . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 115.Test Case 6 - Storage Group ACS Routine Extract. . . . . . . . . . . . . . . . . . . . 183 116.Test Case 6 - CREATE TABLESPACE Extract. . . . . . . . . . . . . . . . . . . . . . . 184 117.Test Case 6 - ISMF Data Set List Extract . . . . . . . . . . . . . . . . . . . . . . . . . . . 184 118.ISMF Storage Class Definition for BSDS and Active Logs . . . . . . . . . . . . . . 186 119.Storage Class Routine Extract for BSDS and Active Logs . . . . . . . . . . . . . . 186 120.Management Class Routine Extract for BSDS and Active Logs . . . . . . . . . . 187 121.Storage Group Routine Extract for BSDS and Active Logs . . . . . . . . . . . . . . 188 122.ISMF Test Result for BSDS (1) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 123.ISMF Test Result for BSDS (2) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 124.IDCAMS Definition Extract for BSDS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 125.ISPF Data Set List of BSDS’s . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190 126.SYSPRINT Messages Extract for Active Log IDCAMS Definition . . . . . . . . . 190 127.ISPF Data Set List of Active Logs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 128.Storage Class Routine Incorporating Archive Logs . . . . . . . . . . . . . . . . . . . . 192 129.Management Class Routine Incorporating Archive Logs. . . . . . . . . . . . . . . . 192 130.Storage Group Routine Incorporating Archive Logs . . . . . . . . . . . . . . . . . . . 193 131.SYSLOG Message Ouput Extract for Archive Logs . . . . . . . . . . . . . . . . . . . 193 132.ISPF Data Set List of Archive Logs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194 133.IDCAMS LISTCAT of Management Class Comparison for Archive Logs . . . 194 134.Storage Class Routine Extract Incorporating Image Copies . . . . . . . . . . . . 195 135.Management Class Routine Extract Incorporating Image Copies . . . . . . . . . 196 136.Storage Group Routine Extract Incorporating Image Copies . . . . . . . . . . . . 197 137.JCL for Image Copy Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 138.Image Copy Allocation JES Output Messages . . . . . . . . . . . . . . . . . . . . . . . 198 139.ISPF Data Set List of Image Copies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 140.IDCAMS LISTCAT Extract of Image Copy Data Sets . . . . . . . . . . . . . . . . . . 199

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IBM 5695-DF1, 5655-DB2 manual Xiii

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.