Webinar with StreamSets & Cloudera

  • Streaming Big Data with StreamSets and Cloudera

    How to Implement Simple, Reliable, Continuous Data Delivery


    March 1, 2016

    10:00 AM Pacific


    The rapid emergence of in-memory compute engines, real-time query and search systems lets organizations use streaming data to deliver business insights faster than ever before.


    Yet building and operating these complex systems can be extremely challenging. Low-level frameworks are cumbersome to use and difficult to monitor at runtime.  Plus, data drift -- the unending, unpredictable and unending changes to big data sources -- creates data corrosion and loss that jeopardizes the integrity of your downstream analytics. Fortunately, there is a better way.


    Please join StreamSets CTO Arvind Prabhakar and Cloudera Director of Product Management Matthew Schumpert as they discuss:

    • The technology improvements that enable end-to-end data streaming in the enterprise.
    • The development and operational challenges of incorporating real-time streams into your data management processes, with a focus on data drift.
    • Best practices for stream processing with StreamSets Data Collector and Cloudera Enterprise, including tools like Apache Kafka and Apache Spark Streaming.

Section 2: Spin Straw into Gold