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Syncsort is making new advancements in big data integration solution, DMX-h, accelerating development, evolving data management requirements, and leveraging rapid big data innovation.

The update introduces new integrated Workflow capabilities, with Spark 2.0 integration simplifying Hadoop and Spark application development.

“With this Integrated Workflow we can run multiple workflows, optimize for multiple compute frameworks in the same workflow, and we are also building the foundation for that,” said Tendü Yogurtçu, general manager of big data at Syncsort.

With Integrated Workflow, organizations can now manage various workloads such as batch ETL on very large repositories of historical data, referencing business rules during data ingest in a single workflow.

The new feature greatly simplifies and speeds development of the entire data pipeline, from accessing critical enterprise data, to transforming that data, and ultimately analyzing it for business insights.

With the new release, developers can now leverage Spark 2.0  to seamlessly take advantage of the enhancements made in Spark 2.0.

They can visually design data transformations once and run the jobs in MapReduce, Spark 1.x or Spark 2.0, by simply changing the compute framework. No rewriting, reconfiguring or recompiling are required.

For more information about this update, visit www.syncsort.com.