DPT Modernization Guide

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.

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.

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.

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.

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.

DPT runs on the z/OS platform and is dependent on this operating system. It can run within an LPAR and may require specific subsystems depending on the data sources being used (e.g., DB2).

DPT requires z/OS as its operating system. It also requires the presence of the databases it will be caching, such as DB2, VSAM, or ADABAS. The specific versions supported will depend on the DPT version.

DPT/Access allows access to in-memory tables from CICS, batch, and IMS environments. DPT/Online provides online management of the tables from CICS or TSO. DPT/Batch Utilities are used for loading, unloading, and reporting.

DPT/ECSA loads tables into common storage for use by multiple systems in an LPAR. DPT/XML translates between tables and XML format. DPT/Security provides security features for accessing the in-memory tables.

DPT integrates with DB2, VSAM, and ADABAS databases. It also integrates with CICS, IMS, and batch processing environments on z/OS. DPT/XML allows integration with systems that use XML data formats.

DPT improves application performance by reducing the need to read data from disk. This leads to faster response times, reduced CPU utilization, and improved throughput. This can translate to cost savings and improved user satisfaction.

Without DPT, organizations may experience performance bottlenecks, increased CPU utilization, and slower response times for applications that rely on frequently accessed read-only data. This can lead to increased operational costs and reduced user productivity.

DPT is a good fit for organizations that have significant investments in mainframe systems and databases like DB2, VSAM, and ADABAS. It is particularly beneficial for applications that are read-intensive and require fast access to data.

DPT may not be a good fit for organizations that are migrating away from mainframe systems or that have applications that are primarily write-intensive. It is also not ideal for databases that are constantly changing.

DPT/Security provides security features for controlling access to in-memory tables. This includes authentication and authorization mechanisms to ensure that only authorized users and applications can access sensitive data.

DPT integrates with existing security systems on z/OS, such as RACF, ACF2, or Top Secret. This allows organizations to leverage their existing security infrastructure to manage access to in-memory tables.

DPT/Logging provides audit trails of access to in-memory tables. This allows organizations to track who is accessing what data and when. This information can be used for security monitoring and compliance purposes.

DPT is typically deployed on-premise within a z/OS environment. The implementation requires technical expertise in z/OS, DB2, VSAM, and ADABAS. It also requires knowledge of CICS, IMS, and batch processing environments.

Ongoing operational requirements include monitoring the performance of DPT, maintaining the in-memory tables, and ensuring that the data is consistent with the underlying databases. This requires skilled personnel with expertise in z/OS and database administration.

Common implementation challenges include ensuring data consistency between the in-memory tables and the underlying databases, managing the memory footprint of the in-memory tables, and integrating DPT with existing security systems.

DPT/Online provides administrative interfaces for managing in-memory tables from CICS or TSO. DPT/Batch Utilities provide batch jobs for loading, unloading, and reporting on the tables.