BIG DATA
BIG DATA
BIG DATA
Modernizing data infrastructure: Hortonworks and Syncsort partner to unlock legacy system data
It’s a year and a half into the partnership between Hortonworks Inc. and Syncsort Inc. that is centered around modernizing legacy data stores and infrastructure. The results so far? The synergy between Syncsort’s high-performance data integration and Hortonworks’ modern data architecture solutions is creating a seamless experience for their common customers, according to Chief Technology Officers from both companies.
“In the Fortune 500 enterprises — insurance, healthcare, telco, financial services and banking — there are a lot of legacy data stores. So our joint solution targeted business cases around enabling the data stores in the modern data architecture,” Tendü Yogurtçu, Ph.D., CTO of Syncsort Inc.
Yogurtçu and Scott Gnau, CTO of Hortonworks Inc., described the high-level strategy behind their partnership during an interview with Lisa Martin (@Luccazara) and George Gilbert (@ggilbert41), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the DataWorks Summit in San Jose, California. (* Disclosure below.)
A joint solution for modernizing data infrastructure
While companies are turning to new solutions for gathering data from various sources, their existing legacy data can still provide tremendous value to business objectives.
“There are hundreds, if not thousands, of customers with legacy data storage where their data is locked away … that is a source of raw material that belongs in the data lake and can certainly enhance the value of all of the other data that is being built there. The value of our partnership is creating that easy bridge to unlock the data from those legacy systems and get it in the data lake. And then from there, the sky’s the limit,” Gnau said.
Once the legacy data has been migrated into a modern storage architecture, such as a data lake, the means of ingesting new data can also be modernized through Hortonwork’s and Syncsort’s joint solutions, Gnau and Yogurtçu explained.
“Customers are looking for alternative ways they can actually capture the change in real time — while the change is less than 10 percent of the original data set — and keep the data fresh in the data lake. And that enables faster analytics, real-time analytics,” Yogurtçu concluded.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s independent editorial coverage of DataWorks Summit. (* Disclosure: Syncsort Inc. sponsored this DataWorks Summit segment on SiliconANGLE Media’s theCUBE. Neither Syncsort nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE Media
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