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Announcing Apache Flink support in Cloudera DataFlow

Cloudera Streaming Analytics, powered by Apache Flink, is a new product offering within the Cloudera DataFlow (CDF) platform that provides real-time stateful processing of IoT-scale data streams and complex events for predictive insights. This product is made available on our innovative Cloudera Data Platform (CDP) Data Center.

Join us to discover how Cloudera Streaming Analytics unlocks new business value in data by attending this short webinar. Led by Andrew Psaltis, our streaming expert and Field CTO, Asia Pacific. This 30 minute webinar will feature:

  • An introduction to Cloudera DataFlow and Cloudera Streaming Analytics

  • Why Flink and how does it change the outcomes from streaming the right data in the following enterprises:

    • Banking and Finance

    • Telecommunications

    • Manufacturing

    • Utilities and Energy

Please join Andrew to understand how Cloudera Streaming Analytics unlocks new business value for businesses requiring real-time insights. Reserve your seat today.

Interested in a deeper dive? Why not join our technical webinar on Cloudera Streaming Analytics - register now



Andrew Psaltis


Andrew is currently Field CTO (APAC) with Cloudera Inc – a NASDAQ listed company specializing in Big Data, Data Analytics and Data Security. Andrew joined Cloudera via the merger with Hortonworks in 2016 and has a 20+ year career leading from the intersection of business and technology to drive strategic planning, tactical development, and implementation of leading-edge technology solutions across enterprises globally. He is recognised for being a hands-on-leader with a customer focus with deep technical expertise and a reputation for integrity, quality, efficiency and reliability. In addition, assisting enterprises in maximizing on ROI by identifying complex business problems, reducing them to deliverable solutions and achieving business objectives. Andrew is a sought after speaker, having presented at various industry events internationally, a teacher at a number of Universities in North America and the author of Streaming Data Linkedin:

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