Syncsort continues its quest for the Big Data market. At the recently concluded BigDataSV event, Tendu Yogurtcu, Big Data GM for Syncsort, spoke with theCUBE co-hosts John Furrier and Jeff Kelly about development around Hadoop and how her company is working closely with the Apache Hadoop community to simplify deployments.

At the start of the interview, Yogurtcu spoke on the extraordinary opportunity for the company in combining the Big Data projects of enterprises and data from mainframes. She said Syncsort’s plan is to bring together two disparate worlds with Hadoop: the mainframe and Big Data, which is particularly driven by cost optimization issues as well as migration, and offloading data and applications to more modern and less expensive infrastructure.

She explained that by utilizing this data directly from the mainframe, companies are exempt from heavy spending around data warehousing and can accelerate cycle analysis in Hadoop. By working directly on mainframe environments, companies do not have to seek out Hadoop expertise just to perform data preparation and aggregation for queries.

Noting the challenges of integrating the two technologies and what can be carried forward from mainframe platforms, Yogurtcu said “the challenge is the obsolete code that was written in mainframe and now nobody understands the 7,000 lines of code that was written.”

She continued, “the second challenge is that there is a rapidly evolving cycle of technology where additional projects of Apache Hadoop are appearing every two to three months.”

Future technological optimization is highly anticipated, which Yogurtcu thinks is good for the Hadoop ecosystem. However, she added “it is challenging for the organizations to cope and adopt fast growing technology.”

Yogurtcu sees an opportunity here, and her company has signed a technology partnership with Cloudera, Inc. to migrate more and more workloads to the open source framework from data warehouses and other legacy systems. She said Syncsort launched the latest edition of its Big Data Edition platform to focus on these challenges.

Commenting on the new Open Data Platform (ODP) group, Yogurtcu said “we have to yet see what comes out from ODP platform. As long as it doesn’t fork from Apache Hadoop and it doesn’t really become an obstacle in terms of the innovation that is happening in Hadoop, ODP is good move.”

In terms of organic partnership growth, Yogurtcu’s company draws its strategy around Big Data. The company had indeed reorganized its business by separating from those related to the protection and safeguarding of data but also by buying William Data Systems, a specialist in advanced network monitoring and security software products for the IBM mainframe platform. The company is also investing in open source Hadoop platforms and Hadoop partners to upgrade its accelerated approach to data integration phases.

Watch the full interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataSV 2015.

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