Current State of Distributed Data Computing Platforms

There are several new frameworks emerging in the Big Data Analytics landscape for last few years. These new products range from in-memory data stores to streaming data analytics frameworks to graph data processing tools. In this presentation, I will give an overview of the emerging Big Data processing platforms and frameworks.

I will also discuss the technologies in the areas of In-Memory Data Grids, Graph Data Analytics, Visualization Tools. Some of the other frameworks covered in this presentation are Mesos, KNIME, Summingbird, and Kinesis.

I will also cover how these frameworks compare with each other and when to use each of these solutions.

Session Outline:

Introduction to Big Data Processing
Big Data Storage - NoSQL Databases
Big Data Processing - Hadoop and Beyond
Emerging Technologies
Apache Spark
What's Next for Big Data
Conclusions

Srini Penchikala currently works as Senior IT Architect in Austin, Texas. He is also the Lead Editor for Big Data and NoSQL Database communities at InfoQ (http://www.infoq.com/author/Srini-Penchikala). Srini has over 19 years of experience in software architecture, design and development. He is currently authoring a book on Big Data Processing with Apache Spark. He is also the co-author of the book "Spring Roo in Action" (http://www.manning.com/SpringRooinAction) from Manning Publications. Srini has presented at conferences like Big Data Conference, Enterprise Data World, JavaOne, SEI Architecture Technology Conference (SATURN), IT Architect Conference (ITARC), No Fluff Just Stuff, NoSQL Now! and Project World Conference. He also published several articles on software architecture, security and risk management, and NoSQL databases on websites like InfoQ, The ServerSide, OReilly Network (ONJava), DevX Java, java.net and JavaWorld.