Are you making the most of your mainframe data?

Mainframe data is big data!

Data Quality Matters

When most people think of legacy software, we think of software that is outdated and due for replacement.

Yet, an alternative definition of legacy, particularly when it comes to mainframe application, is, simply, software that works.

This is a definition that our partner, Syncsort, is proud of. The legacy DMX Sort product has been helping customers to reduce the cost of running their mainframe for decades.

This legacy – the understanding of how to optimally move vast amounts of data – is brought to Syncsort’s line of data integration tools – particularly for moving both logs and data from the IBM mainframe and the IBM i series to advanced analytics platforms like Hadoop and Splunk.

These data integration and change data capture solutions are complemented by the data quality stack, meaning that we don’t just move data efficiently, we ensure its quality as well.

Mainframe data is big data

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Author: Abhishek Srivastava

Abhishek Srivastava is the Enterprise Architect at OCLC Online Computer Library Center, where he works on defining companywide strategy, governance and architecture with other application, infrastructure and domain architects. He has over 19 years of software development and architecture experience, including serving as lead architect on several major projects. He specialized in data architecture, SOA, integration, and delivery of large distributed systems. Abhishek's professional interests are data management, data governance, cloud computing, integration architecture and Big data. He holds an MBA from Mccombs Business School and an engineering degree from IIT Roorkee. Abhishek blogs about Data and architecture at dataisles.com. He can be reached at abhi@dataisles.com.

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