You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Big Data News  >  Current Article

Syncsort and CA Technologies Partner to Enable Next-Generation Analytics

By   /  October 27, 2017  /  No Comments

by Angela Guess

A new press release reports, “Syncsort, the global leader in Big Iron to Big Data solutions, today announced it has partnered with CA Technologies to empower large enterprises to use Syncsort’s DMX-h Big Data Integration software to access data from CA Datacom and CA IDMS for advanced analytics. This offering provides organizations with a simplified environment for accessing and integrating enterprise data sources. CA Datacom and CA IDMS are high-performance mainframe database management systems used by hundreds of large, global enterprises and government agencies for their reliability and fast processing speeds in handling large amounts of business-critical data. Syncsort DMX-h helps unlock the value of the data by making it accessible for analytics with next-generation analytical tools.”

The release goes on, “The new integration between Syncsort DMX-h and CA Datacom and CA IDMS bridges the Big Iron to Big Data gap, enabling enterprises to tap into valuable mainframe data and make it accessible to emerging next-generation platforms. This allows organizations to uncover new revenue streams, new customer insights and improve decision-making, helping to accelerate the ROI on their Big Data initiatives. ‘Many large, global organizations depend on CA Datacom and CA IDMS to store and manage their mission critical applications and data,’ said Vikas Sinha, Senior Vice President, Mainframe, CA Technologies. ‘Their challenge is to maximize the value of that data and remain competitive with business insights by exposing it to state-of-art analytical tools. Syncsort’s Big Data integration software provides a fast, easy and efficient way to answer business questions leveraging the data’.”

Read more at Business Wire.

Photo credit: Syncsort

You might also like...

Monetizing Information? Show Me Your Data Model

Read More →