It’s quickly becoming apparent that MapReduce is not enough when it comes to delivering interactive, low-latency data applications on Hadoop. Yet, never before has there been more demand from companies to discover and explore data for real-time insights. AMPLab’s open source data analysis projects, Spark and Shark, deliver iterative queries up to 100x faster than Hadoop MapReduce. Hear how companies are using Spark-based data platforms for fast, interactive analysis on big data.
Sharmila Shahani-Mulligan is CEO & Founder of ClearStory Data, which helps businesses broaden insights by interactively exploring and analyzing Big Data from a combination of private, public/web and premium sources. Prior to ClearStory, Sharmila was EVP at Aster Data and prior to that, CMO of the largest business unit within HP Software and was responsible for a $3+ billion software products portfolio. Prior to HP, she was CMO/EVP at Opsware, where she joined Marc Andreessen and Ben Horowitz to re-position Loudcloud into a software company and formed Opsware in 2002, which was eventually acquired by HP for $1.65 billion. She has also held executive positions at Netscape, Kiva Software which was acquired by Netscape, AOL and Totality.
Matei Zaharia is an assistant professor of computer science at MIT, and the initial creator of Apache Spark. He is currently on industry leave to start Databricks, a company commercializing Spark, where he is CTO.
Stephanie McReynolds is Vice President, Product and Marketing at ClearStory Data, which helps businesses analyze and explore Big Data from public and private sources. Previously, Stephanie was Senior Director of Product & Technical Marketing at Teradata Aster, where she brought to market the Teradata Aster MapReduce Platform. Stephanie joined Teradata through the acquisition of Aster Data.
Stephanie has more than a decade of experience in product management and marketing for business intelligence, data warehouse and complex event processing products at organizations including, Oracle, PeopleSoft, and Business Objects.
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