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: