For mainframe products: Does this run in an LPAR?

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).

What infrastructure is required?

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.

What are the main components of DPT?

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.

What are some other key features of DPT?

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.

What systems does DPT integrate with?

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.

How does DPT provide business value?

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.

What happens if an organization does not use DPT?

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.

When is DPT a good fit?

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.

When is DPT not a good fit?

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.

How does DPT provide security?

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.

How does DPT integrate with existing security systems?

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.

What audit/logging capabilities exist?

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.

How is DPT typically deployed?

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.

What ongoing operational requirements exist?

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.

What are common implementation challenges?

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.

What administrative interfaces are available?

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.

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DPT

Log-On Software Active z/OS

Performance Databases

Vendor

Log-On Software

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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DPT

Product Overview

Frequently Asked Questions

What does DPT do?

Is this a system, application, or tool?

What types of organizations use this?

When should we consider DPT?

What are the alternatives to DPT?

For mainframe products: Does this run in an LPAR?

What infrastructure is required?

What are the main components of DPT?

What are some other key features of DPT?

What systems does DPT integrate with?

How does DPT provide business value?

What happens if an organization does not use DPT?

When is DPT a good fit?

When is DPT not a good fit?

How does DPT provide security?

How does DPT integrate with existing security systems?

What audit/logging capabilities exist?

How is DPT typically deployed?

What ongoing operational requirements exist?

What are common implementation challenges?

What administrative interfaces are available?

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