The Future of Mainframe Data Is in the Cloud
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, July 20, 2023
Time: 9:00 a.m. PT / 12:00 p.m. ET
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.
Join this TDWI 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 organizations
- How to migrate/replicate mainframe data to cloud platforms
- How to ensure trusted data on cloud platforms
Senior Director of Product Management Data Integration
Ashwin Ramachandran is the senior director of product management for the Precisely Connect product family. In his 7+ years at Precisely, he has enjoyed having a front-row seat watching enterprises adopt and react to the progressive waves of technological change taking hold: from legacy data warehousing to Hadoop to modern cloud data warehousing, ML, and AI. He is particularly passionate about identifying opportunities for how Precisely can help customers overcome their pressing business challenges as these waves of technology continue to take hold.
Amazon Web Services
Maggie Li is a principal engineer at Amazon Web Services (AWS) with over 20 years of experience in the mainframe industry. In her role at AWS, she helps enterprise customers modernize and migrate their mainframe workloads to the cloud. She works with customers across industries including finance, insurance, retail, and the public sector.
Fern Halper, Ph.D.