Real Time Operational Analytics with Apache Spark

Apache Spark has come a long ways since it began as a faster batch oriented map-reduce solution for Hadoop. With support for streaming, machine learning and most recently SQL, Spark aspires to become a player in the realm of real time analytics at scale. However, much of its underpinnings remain batch oriented and unsuited for highly concurrent OLAP workloads. In this talk, we will describe how we are innovating and renovating Spark's core underpinnings to make it suitable for real time operational analytics, helping create a unified platform that supports row and column data, high concurrency and approximate query processing at scale.

Bio:
Sudhir Menon is a founder and the COO of SnappyData. Previously, Sudhir was the R&D Director for fast data products at Pivotal. Sudhir was the director of engineering at GemStone ahead of the VMWare acquisition. Sudhir holds multiple patents in the areas of scaled up networking systems.

Big Data Bellevue Meetup takes place at inome headquarters in Bellevue. inome provides the only centralized service for delivering comprehensive information about people, places, organizations, and their connection to each other. Our state-of-the-art big data technology platform is utilized across a wide range of industries to implement specific solutions.

On the third Wednesday of each month, we invite an industry leader in Big Data to give a presentation followed by a lively discussion on big data technology and its impact on business world. Past speakers include researchers from the University of Washington, as well as senior members of various companies, such as Microsoft, Amazon, eBay, IBM, MapR and inome.

Details of the talk will be posted here soon!

Intelius graciously provides free drink and pizza!