Batch processing is used for some of an organization’s most critical and time-sensitive business operations. It is used across many industries including, memo-posting of banking transactions in high volume, settlement and clearing, claims processing, risk assessments, payroll handling, ledger postings and reconciliations, and operational activities such as backups, reporting, data transfer, and archival. Batch jobs perform many read, write, and sort activities on sequential and VSAM files without manual intervention or input required unless, of course, a job does not end successfully. Batch window processing often takes place during off-hours or non-peak hours, and it is not unusual for OLTP to wait on the completion of the batch processing, as OLTP start of day (input) often requires the results of batch processing.

This IBM Redbooks® publication provides an overview of the IBM® strategy to help you modernize your batch applications faster, at lower cost and less risk, by using IBM Z® and public cloud solutions together in your modernization journey. Included are prescriptive approaches, best practices with supporting technologies and reference architectures to help businesses achieve the right outcome.

Mainframe Batch Modernization and Transformation

Java batch on the mainframe

Common batch use cases and modernization techniques

Moving from batch to more real-time for business processing workflows