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Product Overview

DPT (Data Processing Tables) is a z/OS-based solution designed to optimize database performance by leveraging in-memory data caching. It addresses the limitations of traditional disk-based data access, particularly for read-intensive applications. DPT works by loading read-only tables from DB2, VSAM, and ADABAS into memory, providing significantly faster access times and reduced I/O overhead.

The architecture of DPT comprises several key components. DPT/Access provides the interface for applications to access the in-memory tables from CICS, batch, and IMS environments. DPT/Online offers online management capabilities via CICS or TSO.

DPT/Batch Utilities are used for loading, unloading, and reporting on the tables. DPT/ECSA enables the loading of tables into common storage for shared access across multiple systems within an LPAR. DPT/XML facilitates data translation between tables and XML formats.

DPT/Security provides access control and security features, while DPT/Logging provides audit trails. Communication between components is primarily through z/OS system services and inter-process communication mechanisms. The in-memory tables are stored in z/OS memory.

DPT integrates with existing z/OS security systems such as RACF, ACF2, or Top Secret for authentication and authorization. The system requires careful configuration to ensure data consistency and optimal memory utilization. Consider DPT when designing solutions requiring high-performance access to relatively static data on z/OS.

Frequently Asked Questions

What does DPT do?

DPT is a tool designed to improve database performance on z/OS systems. It achieves this by loading read-only tables into memory, allowing faster access than reading from disk. This reduces I/O operations and improves response times for applications that frequently access these tables.

Is this a system, application, or tool?

DPT is a tool set that provides utilities and components for managing in-memory tables. It includes components for accessing the tables from various environments (CICS, batch, IMS), online management, batch utilities for loading/unloading, and features for security and XML translation.

What types of organizations use this?

Organizations that rely heavily on mainframe databases like DB2, VSAM, and ADABAS and need to improve the performance of read-intensive applications can benefit from DPT. These are often large enterprises in industries such as banking, insurance, and retail.

When should we consider DPT?

A company should consider using DPT when they experience performance bottlenecks due to frequent reads of static or read-only data from databases. If application response times are slow due to I/O operations, DPT can provide a significant performance boost.

What are the alternatives to DPT?

Alternatives to DPT include other in-memory data caching solutions, database performance tuning, and hardware upgrades. Specific products might include caching solutions provided by database vendors or general-purpose caching software.

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