After a short summer break let's meet and talk about a very hot topic nowadays in Big Data - Spark Streaming and how it compares to Apache Storm. Our speaker Taylor Goetz, Apache Storm committer and release manager, will present his view on the topic.
Apache Spark is intended to be a drop in replacement for Hadoop MapReduce providing the benefit of improved performance. Spark streaming allows to process data in real time. Can we use the same platform for both, batch processing and real-time? Can Spark Streaming replace Storm like Spark replaces Hadoop? Let's get together and find answers to those and many other questions.
Also, three years ago on September 17, the first version of Storm was released. Now it's became the most used stream-processing framework. To celebrate this, our sponsor O'Reilly Publishing gave us books and one ticket to Strata 2014 in New York to raffle.
Hope to see everybody. Please share this meetup on Twitter and other social media.
6:30 - meetup starts, networking, raffle
7:00 - Taylor's presentation
8:00 - QA , discussions
About our speaker:
P. Taylor Goetz is an Apache Storm committer and release manager and has been involved with the usage and development of Storm since it was first released as open source in October of 2011. As an active contributor to the Storm user community, Taylor is lead on a number of open-source projects related to Storm. Specifically, he has developed numerous technologies that enable integration of Storm into the enterprise. He has also authored a number of open source storm projects which enable enterprises to integrate Storm into heterogeneous infrastructure. He is coauthor of "Storm Blueprints: Patterns for Distributed Real-time Computation" book.
From our sponsor- O'Reilly Publishing: you will get 20% off Strata 2014 registration with code UGNYCSUG20 and this link (http://www.anrdoezrs.net/click-3868817-11828964).
Many thanks to our member, Infant Rosario Vasanth, for suggesting this topic