Deriving Intelligence from Large Data - Using Hadoop and Applying Analytics

Location: Mission City B4
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Organizations today possess massive data – in tera- and petabytes – that
needs to be effectively collected, stored and processed. Hadoop is a cost
effective option that helps manage this big data. To derive real returns
from these big data systems, one needs to extract useful insights and
business intelligence. This session will highlight: Challenges in managing
large data; Solutions available for the same; Using Hadoop and Hive to
manage and structure data; Applying analytics on large data; Workable
approaches for flexible, end-user-driven ad hoc analysis.

Photo of Vineet Tyagi

Vineet Tyagi

Impetus Technologies

Vineet Tyagi has over 17 years of experience on product development, managing innovation and creating enterprise grade solutions for Healthcare, Transportation, Insurance and Financial sectors. His expertise includes Big Data, Hadoop, Cloud Computing and Agile/Lean software development. Vineet has spearheaded the design & architecture of several large & cloud scale solutions for data lifecycle management at petabyte scale. Vineet also leads many Open source contributions that have received global recognitions and is a noted speaker on Big Data Technologies.


  • Thomson Reuters
  • EMC Data Computing Division
  • EnterpriseDB
  • Microsoft
  • Gnip
  • Rackspace Hosting
  • IBM
  • Windows Azure MarketPlace DataMarket
  • Amazon Mechanical Turk
  • Amazon Web Services
  • Aster Data
  • Cloudera
  • Clustrix
  • DataStax, Inc. (formerly Riptano, Inc.)
  • Digital Reasoning Systems
  • Heritage Provider Network
  • Impetus
  • Jaspersoft
  • Karmasphere
  • LinkedIn
  • MarkLogic
  • Pentaho
  • Pervasive
  • Revolution Analytics
  • Splunk
  • Urban Mapping
  • Wolfram|Alpha
  • Esri
  • ParAccel
  • Tableau Software

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