Technologies / Data & Analytics

IMS Database Performance and Tuning

The IMS Database Performance and Tuning training course is an advanced course that focuses on optimizing Information Management System (IMS) database performance. Participants will gain a working knowledge of IMS database tuning in IMS/Batch, IMS/Data Communications (DC), CICS-Local-Data Language One (DL/I) and Data Base Control (DBCTL) environments. The course covers key aspects affecting performance, such as configuring datasets and buffers for VSAM and OSAM. In addition, participants will learn methods for estimating performance prior to deployment and consolidate the skills learned through seven hands-on machine learning labs.

Issues

The training covers a wide range of topics related to IMS database performance:

Performance data analysis of the IMS database environment
Selection of IMS access methods that provide the best database performance
Optimize performance by selecting buffer pools and buffer pool options
Implementation of optimal performance options for VSAM datasets
Assessing the need for secondary indexes and selecting implementation options
Selecting physical database implementation options to improve performance
HDAM randomization parameter selection for improved key randomization process

Benefits

The skills necessary to significantly improve the performance of IMS database systems
They will learn to analyze performance data, select optimal access methods and implement advanced optimization techniques
The course will provide an understanding of the impact of various configuration parameters on system performance, which will translate into more efficient management of IT resources in the organization
Hands-on labs will enable participants to immediately apply the knowledge gained in real-world scenarios, which will accelerate the learning process and increase confidence in optimization decisions

Who is this training for?

The training is aimed at mid-level IT professionals who are interested in improving the performance of IMS database systems

Ideal candidates are database administrators, system architects and application developers who want to deepen their knowledge of IMS optimization

The course is especially valuable for those working in large organizations that use mainframes and IMS systems to process business-critical data

Prerequisites

Participants are expected to have completed the IMS Physical Organization of Databases Workshop course or have 4-6 months of experience working with the IMS database system
Candidates should understand the physical organization and processing characteristics of HISAM, HIDAM and HDAM access methods
The ability to code DBD and PSB macros to implement secondary indexing and physical HISAM, HIDAM and HDAM databases is also important
Participants should be familiar with the characteristics of physical secondary index storage and the software requirements associated with its use
In addition, familiarity with IMS tools for loading and reorganizing logically linked secondary index databases and the ability to use VSAM access services is expected