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Hortonworks and Syncsort partner

Hortonworks has expanded its partnership with Syncsort, a global leader in Big Data and mainframe software, to deliver an integrated solution to help customers quickly and efficiently migrate data onto Hortonworks Data Platform (HDPTM). Hortonworks will resell Syncsort’s DMX-h for onboarding ETL processing in Hadoop. With this partnership, Hortonworks and Syncsort are providing a trusted solution for integrating legacy ETL flows in Connected Data Platforms.

  • Wednesday, 13th April 2016 Posted 10 years ago in by Phil Alsop
Connected Data Platforms are at the center of modern data and analytics architectures, and onboarding data from other systems is a key success factor. Implementing ETL processing that originates in legacy systems can be time consuming and resource intensive. The combination of HDP with DMX-h enables data from traditional legacy systems like mainframes to be quickly and seamlessly onboarded into Hadoop in a format that is easily understood for fast and easy analytics. Through this integration, there is no need to rewrite complex processes or mappings, meaning customers can quickly migrate important data into a cluster while retaining the data’s integrity and provenance.

 

“Our Connected Data Platforms are the core of a modern data architecture and customers want to get as much of their data as possible under management in HDP to maximize their analytics capability, said Scott Gnau, chief technology officer, Hortonworks. “We are constantly looking for ways to improve the customer experience, and this partnership will reduce the cost and time of ETL onboarding to HDP while enabling faster time to value for integrated analytics.”

 

“Some of the world’s largest organizations use Syncsort DMX-h to securely access data from mainframe or virtually any other data source, and integrate it on Hadoop, on-premise or in the cloud,” said Tend? Yo?urt?u, General Manager of Syncsort’s Big Data business. “We are very excited to expand our partnership with Hortonworks to easily bring data in any format into HDP to allow our joint customers to gain bigger insights and drive business agility.”

 

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