Real-time processing is an important part of your Hadoop architecture, but is it always the best approach to analytics? Join us for our latest DSC Webinar with experts from MapR and Think Big, as we delve into the decision making process around Hadoop real-time and batch processes. You will learn the ins and outs of low-latency design for analytics, as well as see how these designs get implemented in the real world.
You will learn:
Useful design patterns for building your Hadoop stack that best serves low-latency requirements
Pitfalls to avoid when choosing your real-time processing option
Real customer examples highlighting decision-making processes for both real-time and batch processing
Steve Wooledge, Vice President, Product Marketing — MapR
Bill Kornfeld Director, R&D — Think Big, a Teradata Company
Hosted by: Bill Vorhies, Editorial Director — Data Science Central