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Abstract
Several Redbooks® have been previously written about application modernization on the z/OS® platform, but none of them have addressed batch processing in much detail. As a large portion of the workload on z/OS is processed in a batch mode, it is not difficult to justify a dedicated publication on this matter.
These days there are many different technologies that can be put at work in a batch environment on z/OS. This Redbook demonstrates that batch on z/OS is not only COBOL, JCL and a job scheduler anymore. This book also demonstrates that z/OS offers a sophisticated environment for batch that you may not have implemented on z/OS yet.
In this practical book we discuss a variety of themes that are of importance for batch workloads on z/OS. Several themes are accompanied by enlightening samples that you can try on your own system. The book also includes a chapter on future developments in batch processing.
Table of contents
Chapter 1. management summary
Part 1 - Overview
Chapter 2. Introduction
Chapter 3. Bulk processing reference architecture
Part 2. Serving new functional requirements in z/OS batch
Chapter 4. Implement new functionality using traditional languages
Chapter 5. Introduction to Java on z/OS
Chapter 6. Implement new functionality by using Java in traditional containers
Chapter 7. Implement new functionality by using stand-alone Java
Chapter 8. Implement new functionality by using Java in WebSphere XD Compute Grid
Chapter 9. Implement new functionality by using PHP on z/OS
Chapter 10. Serve new functional requirements in z/OS batch - Summary
Part 3. Implement agile batch
Chapter 11. Create agile batch by optimizing the Information Management architecture
Chapter 12. Create agile batch by optimizing DB2 access
Chapter 13. Create agile batch by implementing trigger mechanisms
Part 4. Improve batch efficiency
Chapter 14. Approaches and techniques to reduce the batch window
Chapter 15. Increasing concurrency by exploiting BatchPipes
Chapter 16. Batch application design and patterns in WebSphere XD Compute Grid
Chapter 17. Java performance performance best practices
Chapter 18. Increasing batch efficiency by using performance instrumentation
Part 5. Reduce batch complexity
Chapter 19. Reduce batch complexity by using a Business Rules Management System (BRMS)
Chapter 20. Reduce batch complexity by eliminating custom transformation logic
Chapter 21. Reduce batch complexity by eliminating custom file transfer logic
Chapter 22. Reducing complexity by exploiting DFSORT / ICETOOL
Chapter 23. Summary
Part 6. Appendixes
Disclaimer
These pages are Web versions of IBM Redbooks- and Redpapers-in-progress. They are published here for those who need the information now and may contain spelling, layout and grammatical errors.
This material has not been submitted to any formal IBM test and is published AS IS. It has not been the subject of rigorous review. Your feedback is welcomed to improve the usefulness of the material to others.
IBM assumes no responsibility for its accuracy or completeness. The use of this information or the implementation of any of these techniques is a customer responsibility and depends upon the customer's ability to evaluate and integrate them into the customer's operational environment.