The significance of mainframe data is ever more apparent in our daily lives. Every time you swipe your credit card or make a payment with your mobile phone, you are accessing a mainframe. Your Social Security checks, of course, are also generated based on mainframe data.
If we leave these critical data assets outside of the big data analytics platforms and exclude them from the enterprise data lakes, it is a missed opportunity. This white paper describes how making these data assets available in the data lake for predictive and advanced analytics opens up new business opportunities and significantly increases business agility.
We will explore the challenges associated with integrating mainframe data into Hadoop, while allowing organizations to work with mainframe data in Hadoop or Spark in its native format – and how to solve them.
Sponsored By Syncsort
Individual, Student, & Team memberships available.