Post AWS re:Invent in Las Vegas, Enterprise Times talked with Eric Yau, Chief Operating Officer for Precisely. We talked about the challenges of data integrity and mainframe modernisation, especially given the company’s recent announcements with AWS.
Amazon is already leveraging technology from Precisely to replicate data from IBM z systems. Yau said: “We just expanded it to IBM i systems, onto AWS and AWS storage services, AI services and so on.”
For those organisations that use the mainframe, it is often their key system of record. Migrating data to the cloud does not mean that will stop. Yau sees the strategy for many companies as being one of co-existence between platforms. Interestingly, Yau also sees this as a continuous process. New data on the mainframe is migrated to keep the data sets aligned.
What is interesting is the uses that organisations are making of that data and how that sits with the wider Precisely product range. Analytics and AI are just two uses of that data. Customers also want to use it in other apps where it is easier to integrate with data held in the cloud than on the mainframe. The cloud also makes data resilience easier.
To make that data more valuable, companies also want to maintain and even enhance the data integrity. Yau says that data integrity includes a range of things including: “data integration, data cleansing, data quality, data profiling, mass data management, data governance and data enrichment. ”
To hear what else Yau said, listen to the podcast.
Where can I get it?
You can listen to the podcast by clicking on the player below. Alternatively, click on any of the podcast services below and go to the Enterprise Times podcast page.
