Intro to Hadoop & Analytics


Details
Event Calendar:
6:30 - 7:00 Networking and Hors D'ouvre courtesy of our sponsor: MapR. Please make sure you pay for your own drinks
7:00 - 7:45 Brandon's Presentation
7:45 - 8:00 Q&A & Wrap Up
8:00 - Networking
Apache Drill provides the users the ability to interact with big data much faster and far more easily by using the familiar SQL language. Users are no longer dependent on central IT teams and DBAs to produce schemas and then maintain them when the structure changes for a few records. Apache Drill alleviates the pain associated with structuring unstructured data before one gains any insights by providing a simple mechanism to query any dataset on Hadoop - be it flat files, parquet or JSON files or tables within an HBase table. This session will give you an overview of the evolution of analytics in Hadoop and several different use cases that enterprises are testing Drill for.
About the speaker:
Brandon is a Sales Engineer at MapR. Brandon is responsible for working with customers, partners and prospects to understand and propose solutions using MapR technologies. Brandon has over 15 years of experiences as a hands-on technologist with a strong track record of success, serving as a trusted adviser and intermediary between cutting edge technologies and customers’ business needs. Prior to joining MapR, Brandon was a Storage Solutions Architect for Red Hat, where he provided clients with software-defined storage solutions that utilized physical, virtual and Amazon-based virtual machines to serve high performing and highly available storage. Before Red Hat, Brandon served as a subject matter expert in the Virtual Desktop Infrastructure (VDI) space as a Solutions Architect for LogicsOne, where he provided businesses all over the world with solutions from both VMware and Citrix. Earlier in his career, Brandon was a Technical Project Manager and Solutions Advisor for Radical Support, where he specialized in SMB architecture.
About MapR Technologies:
MapR (http://www.mapr.com/) delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports a broad set of mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified distribution for Hadoop. MapR is used by more than 700 customers across financial services, government, healthcare, internet, manufacturing, media, retail and telecommunications as well as by leading Global 2000 and Web 2.0 companies. Amazon, Cisco, Google, Teradata and HP are part of the broad MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. MapR is based in San Jose, CA. Connect with MapR on Facebook (http://www.facebook.com/maprtech), LinkedIn (http://www.linkedin.com/company/mapr-technologies), and Twitter (http://twitter.com/mapr).

Intro to Hadoop & Analytics