The mandates of the European Union’s General Data Protection Regulations are fast approaching, and new businesses are emerging to provide support for enterprises struggling to comply before the May 2018 deadline. While many companies may be looking for a quick legal fix, security-centric businesses see GDPR as an opportunity to rebuild strategies and infrastructure for a more secure, competitive operation.

“Data is no longer an enabler, and in all of the enterprise we are seeing data becoming the core strategy,” said Tendü Yogurtçu (pictured), chief technology officer of Syncsort Inc. At Syncsort, Yogurtçu is helping businesses reevaluate data management from the ground up for a more comprehensive overall approach — what she calls a “farm-to-table” view of data.

Yogurtçu spoke with Lisa Martin (@LuccaZara) and George Gilbert (@ggilbert41), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, at the BigData SV event in San Jose, California. They discussed the effects of GDPR and how Synscsort is helping customers stay compliant in the rapidly evolving data landscape. (* Disclosure below.)

Creating greater visibility

Yogurtçu looks to four major trends of big data to help develop strategies for customers at Syncsort: cloud, streaming, data science and data governance. Syncsort’s general strategy for its entire portfolio is to have products following custom design wants and be deployable with any of its strategies. “Whether it’s a standalone environment on Linux or running on Hadoop or Spark, or running on-premises or in the cloud … we are enabling the same application with no changes to run all of these environments, including hybrid,” she said.

With the growing popularity of streaming services and the mass amounts of data they create, Syncsort has adjusted its product offerings to include real-time data replication to the next-generation analytics environments and big data environments through its new service, Change Data Capture. “Not just keeping the data lake fresh, but publishing the changes from multiple, diverse set of sources and publishing into a Kafka database to make it available for applications and analytics in the data pipeline,” Yogurtçu stated.

Through its data science initiatives, Syncsort works to combat the pitfalls of bad data models that can come from poorly prepared data sent through artificial intelligence processes. “We add supervised learning to this … to infuse the machine learning algorithms and connect data profiling capabilities we have with the data quality capabilities recommending business rules for data scientists and helping them automate,” Yogurtçu said.

Through all of its services, Syncsort works under the umbrella of data governance. While some companies may seek a quick fix to GDPR compliance, Syncsort’s holistic approach is one that works to deeply root businesses in the strong data processes they will need to continue scaling in the future.

“It’s all about creating more visibility, because for audit reasons, for understanding how many copies of my data is created … and who accessed it, creating that visibility is very important,” she concluded.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the BigData SV event. (* Disclosure: Syncsort Inc. sponsored this segment of theCUBE. Neither Syncsort nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE