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Big Iron, Meet Big Data: Liberating Mainframe Data with Hadoop & Spark

It’s exciting to think about all the cool new frameworks and data sources out there, and the promise they hold. Spark and MapReduce, Kafka and NiFi – they all have their place in the ecosystem, but we can’t forget about legacy systems, which often hold a wealth of historical and customer data. Register for this episode of Hot Technologies to hear Data Scientist Dez Blanchfield and veteran Analyst Dr. Robin Bloor as they discuss how organizations can maximize potential of their legacy systems as well as their data lake by fusing legacy and modern architectures. They’ll be briefed by Tendü Yogurtçu of Syncsort, who will show how her company’s Mainframe Access and Integration solution blends mainframe and other enterprise data – batch and streaming – with Hadoop and Spark in a single pipeline. She’ll explain how Syncsort DMX-h greatly simplifies analytics, compliance and audits, and “future-proofs” applications with a design-once, deploy-anywhere approach.

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