The Future of Mainframe Data Is in the Cloud
As organizations make the move to cloud platforms to support modern analytics and applications, they often need to move more than their on-premises data warehouses and lakes. Organizations often have legacy mainframe data that runs their mission-critical and revenue-generating applications, and that needs to get to the cloud as well.,,Yet it can be difficult to replicate this data onto cloud platforms to make it a part of your data-driven initiatives. Mainframe data is often complex with old formats. When it is moved to the cloud, the data needs to maintain consistency and accuracy. At the same time, the data needs to be available in real time to cloud-based data management and analytics applications.,,Watch this webinar for a discussion with experts from Precisely and AWS about how to bring your data to applications and services on the cloud. Topics include:,The importance of mainframe data for organizationsHow to migrate/replicate mainframe data to cloud platformsHow to ensure trusted data on cloud platforms
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The Future of Mainframe Data Is in the Cloud
- 1. Copyright © 2023TDWI The Future of Mainframe Data Is in the Cloud July 20, 2023
- 2. SPONSOR 2
- 3. FERN HALPER VP, Senior Research Director for Advanced Analytics TDWI
- 4. Copyright © 2023TDWI AGENDA • Introduction: Cloud data/mainframe data • Panel discussion: • The importance of mainframe data for organizations • How to integrate/modernize mainframe data to cloud platforms • How to ensure trusted data on cloud platforms Copyright TDWI 2023
- 6. Copyright © 2023TDWI There are issues getting data to the cloud/using it in the cloud
- 7. Copyright © 2023TDWI Some of this data is mission critical/mainframe data • Mainframe data can be wide and varied • Transactions, customer data, billing data, ERP data, supply chain data • Vertical data such as insurance claims, healthcare records, financial data • This data can be very useful to enrich data sets for analysis and for modern applications • Yet, it is complex to modernize to the cloud • Complex, unique formats such as VSAM • May use different encoding schemes such as EBCDIC rather than ASCII • Written in older languages, such as COBOL • Needs to be available in real-time/synchronized with the cloud Copyright 2023 TDWI
- 8. Copyright © 2023TDWI An example Copyright 2023 TDWI EBCDIC –”A” ASCII – “A” 193 (decimal), C1 (hexadecimal) 65 (decimal), 41 (hexadecimal)
- 9. Ashwin Ramachandran Senior Director of Product Management – Data Integration Precisely
- 12. Copyright © 2023TDWI Panel discussion Copyright © 2023TDWI Question: What do you see as the importance of the mainframe for organizations?
- 13. Copyright © 2023TDWI Panel discussion Copyright © 2023TDWI Question: What challenges do you see organizations facing as they try to modernize mainframe data to the cloud?
- 14. Copyright © 2023TDWI Panel discussion Copyright © 2023TDWI Question: How do you integrate/modernize mainframe data to the cloud?
- 15. Copyright © 2023TDWI Panel discussion Copyright © 2023TDWI Question: How do you ensure that mainframe data is accurate, timely, and trusted?
- 16. Copyright © 2023TDWI Panel discussion Copyright © 2023TDWI Question: What other best practices do you recommend for organizations modernizing mainframe data to the cloud?
- 17. Copyright © 2023TDWI Copyright © 2023TDWI Questions?
- 18. Copyright © 2023TDWI Copyright © 2023TDWI THANK YOU!
- 19. CONTACT INFORMATION If you have further questions or comments: Fern Halper, TDWI fhalper@tdwi.org @fhalper Ashwin Ramachandran, Precisely aramachandran@precisely.com Maggie Li, AWS zhelihe@amazon.com tdwi.or
- 20. SPONSOR 2