Accelerate Hadoop with Apache Spark and GridGain

1/2 hour pizza/soda mixer followed by two tech talks.

Talk 1: Hey Hadoop, meet Apache Spark!

Speaker:

David Tucker, Solutions Architect

David is a solutions architect with MapR Technologies, specializing in cloud deployments and performance issues. He joined MapR in 2012 from HP's Enterprise Servers organization, where he had worked with strategic software partners for over 15 years.

Outline:

Hadoop has been a huge success in the data world. It’s disrupted decades of data management practices and technologies by introducing a massively parallel processing framework. The community and the development of all the Open Source components pushed Hadoop to where it is now. That's why the Hadoop community is excited about Apache Spark. The Spark software stack includes a core data-proccessing engine, an interface for interactive querying, Sparkstreaming for streaming data analysis, and growing libraries for machine-learning and graph analysis. Spark is quickly establishing itself as a leading environment for doing fast, iterative in-memory and streaming analysis. This talk will give an introduction the Spark stack, explain how Spark has lighting fast results, and how it complements Apache Hadoop

Talk 2: In-memory computing

Speaker:

Dmitriy Setrakyan is founder and EVP of Engineering at GridGain Systems. Dmitriy has been designing, architecting and developing software and applications for over 15 years and has expertise in the development of distributed computing systems, middleware platforms, financial trading systems, CRM applications and similar systems.

Outline:

Presentation will start with an overview of what In-Memory Computing is, what are the best uses cases for it, why it is getting so much attention now, and what some of the facts and myths about it.

The second part of presentation will concentrate on discovering core capabilities of GridGain 6.0 In-Memory Computing platform including clustering and high performance computing.