Competition Announcements and Big Data Utah Meeting @ IHC - MAPR Presenting!

Competition Announcements
We will be announcing the details on the Prediction Competition and the Winter/Spring Competition from OC Tanner as well!

MapR will be presenting for us twice in February. This first meeting will be a great start to the conversation with an additional meeting on the 3rd Wednesday.

Venkat Gunnu

Senior Data Engineer, Professional Services

Venkat Gunnu is a Senior Data Engineer at MapR Technologies, where he helps MapR clients architect and design big data applications. Prior to MapR, Venkat worked with SIG, Intel research, and Dow Jones, architecting and building low-latency, high-volume applications using GigaSpaces, FPGA, NoSQL, C++, Java and dotnet.

Venkat holds a Master’s degree in MIS from Central Queensland University in Australia, as well as a B.Tech degree in Electrical and Electronics Engineering from Nagarjuna University in India.

Self-Service Data Exploration and Nested Data Analytics on Hadoop

Abstract: SQL is one of the most widely used languages to access, analyze, and manipulate structured data. As Hadoop gains traction within enterprise data architectures across industries, the need for SQL for both structured and loosely-structured data on Hadoop is growing rapidly Apache Drill started off with the audacious goal of delivering consistent, millisecond ANSI SQL query capability across wide range of data formats. At a high level, this translates to two key requirements – Schema Flexibility and Performance.

Apache Drill provides the users the ability to interact with big data on Hadoop much faster and far more easily 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. 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 several different use cases that enterprises are testing Drill for.

See you there! This should be a great year of presentations.

Thanks,

Nick Baguley