As the Big Data snowball continues to roll forward and pick up momentum, the need for speed is increasingly cited by experts as a major area of concern. If Big Data is ever going to deliver on its promise, the phases of gathering and analyzing are going to have to shorten and compress, according to Tendü Yoğurtçu, GM of Big Data at Syncsort, Inc.

Yoğurtçu talked with John Furrier (@furrier) and George Gilbert (@ggilbert41), cohosts of theCUBE, from the SiliconANGLE Media team, during the BigDataSV 2016 event in San Jose, California, where theCUBE is celebrating #BigDataWeek, including news and events from the #StrataHadoop conference.

“The data scientists are still spending close to 80 percent of their time in data preparation,” she said, adding that this is simply unacceptable going into the future and that data scientists should have much more time to devote to turning usable data into insights and applications.

The need for speed

Yoğurtçu said that rapid cleansing and preparation of data are necessary for companies to “future proof” their applications. Today, five minutes might be allowed for the completion of an analytical task; in a few years, though, the same task may need to be done in one minute in order to compete in the marketplace, she explained.

Speaking about her own company’s customers, she said that running Spark, an open-source processing engine, on top of the Hadoop cluster is one way the company is looking to future proof its applications.

Yoğurtçu also revealed that Syncsort will be making one or two acquisitions later this year.

Watch the full interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of BigDataSV 2016. And make sure to weigh in during theCUBE’s live coverage of the event by joining in on CrowdChat.

Photo by SiliconANGLE