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Hadoop India Summit, Feb 2011 - Informatica

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Sanjeev Kumar
Sanjeev Kumar

Lightening talk by Sanjeev Kumar, from Informatica India. Presented at the Hadoop India Summit on Feb 16, 2011.

Technologie
1 von 19
Informatica & Big Data Sanjeev Kumar VP & MD, Informatica India Apache Hadoop India Summit 2011
Agenda ,[object Object],[object Object],[object Object],[object Object]
Why “Big Data” Now? : Exploding Data Volumes Source: An IDC White Paper - sponsored by EMC. As the Economy Contracts, the Digital Universe Expands. May 2009. . Relational Complex, Unstructured ,[object Object],[object Object]
Why Now? Exploding Data Volumes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why Now? : New Apps/Use-cases ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Big Data Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Addressing Big Data Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hadoop Technology Stack HDFS HBase Map/Reduce Pig Hive Cascading
Hadoop Momentum Search Volume Index News Reference Volume Job Trends from Indeed.com
Big Data in the Enterprise – Hadoop Usage
Big Data in the Enterprise Case Studies: Hadoop World 2009 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Big Data in the Enterprise Case Studies: Hadoop World 2010
Agenda ,[object Object],[object Object],[object Object],[object Object]
[object Object],Informatica – Our Singular Mission Enabling The Information Economy
Informatica – What We Do Comprehensive, Unified, Open and Economical platform Data Warehouse Data Migration Test Data Management & Archiving Master Data Management Data Synchronization B2B Data Exchange Data Consolidation Complex Event Processing Ultra Messaging Application Partner Data SWIFT NACHA HIPAA … Cloud Computing Unstructured Database
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Informatica & Data Verbs on Data – We do things to data!
Informatica & Big Data ,[object Object],[object Object],[object Object],[object Object]
Informatica & Hadoop – Big Picture HDFS Data Node HDFS Name Node HDFS Job Tracker Hadoop Cluster Transformation Engine for custom data processing Weblogs Enterprise Applications Databases Semi-structured Un-structured BI DW/DM Metadata Repository Graphical IDE for Hadoop Development Enterprise Connectivity for Hadoop programs
 

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Hadoop India Summit, Feb 2011 - Informatica

  • 1. Informatica & Big Data Sanjeev Kumar VP & MD, Informatica India Apache Hadoop India Summit 2011
  • 2.
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  • 7.
  • 8. Hadoop Technology Stack HDFS HBase Map/Reduce Pig Hive Cascading
  • 9. Hadoop Momentum Search Volume Index News Reference Volume Job Trends from Indeed.com
  • 10. Big Data in the Enterprise – Hadoop Usage
  • 11.
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  • 14.
  • 15. Informatica – What We Do Comprehensive, Unified, Open and Economical platform Data Warehouse Data Migration Test Data Management & Archiving Master Data Management Data Synchronization B2B Data Exchange Data Consolidation Complex Event Processing Ultra Messaging Application Partner Data SWIFT NACHA HIPAA … Cloud Computing Unstructured Database
  • 16.
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  • 18. Informatica & Hadoop – Big Picture HDFS Data Node HDFS Name Node HDFS Job Tracker Hadoop Cluster Transformation Engine for custom data processing Weblogs Enterprise Applications Databases Semi-structured Un-structured BI DW/DM Metadata Repository Graphical IDE for Hadoop Development Enterprise Connectivity for Hadoop programs
  • 19.  

Hinweis der Redaktion

  1. Map/Reduce implementation Apache Open Source Project : Yahoo dominated Two major components HDFS Failure Resilient Distributed File Systems Map/Reduce Failure Resilient Distributed Computing Framework Scales to thousand+ node cluster Used by Yahoo, Facebook etc
  2. This is the Informatica Corporate Presentation