F11 - Analyze unstructured data by combining the of power of Hadoop cluster and IBM DB2 database

Session Number: 183
Track: Big Data and Analytics
Session Type: Podium Presentation
Primary Presenter: Harpreet Singh [Staff Software Engineer - IBM]
Co-Presenter: Doug Lang [Software quality engineer for Big Data systems - IBM]
Time: May 02, 2013 (02:15 PM - 03:15 PM)
Room: Bonaire 5&6

Speaker Bio: Harpreet Singh is a member of the Netezza software quality assurance team, specializing in the transaction manager and SQL Optimizer areas. He was previously part of the Informix quality assurance team. His projects over the past five years included leading Informix client SDK testing, leading testing for various porting efforts including Mac OS X and Linux for zSeries, leading embeddability, virtualization, and IBM cloud testing. He currently leads the quality assurance effort for major components and features in Netezza's optimizer area. He is an IBM Certified Specialist for Netezza Platform Software v6.


Doug Lang currently works as a software quality engineer for Big Data systems. Previously he worked as and Advanced support analyst for DB2 and subject matter expert for DB2 High Availability features.

Audience experience level: Intermediate
Presentation Category: Data Management, Data Warehousing and Business Intelligence, Big Data
Presentation Platform: Cross Platform
Audiences this presentation will apply to: Data Architects, Database Administrators, IT Managers
Technical areas this presentation will apply to: Data Warehousing and Business Intelligence, Tools and Utilities
If Tools and Utilities was selected which products: IBM Biginsights (Hadoop), IBM DB2, IBM Netezza warehouse appliance
Objective 1: Overview of IBM BigInsights(Hadoop)
Objective 2: Use cases where Hadoop is more beneficial over a traditional database
Objective 3: Overview of MapReduce/HDFS
Objective 4: Demonstration with an example
Co-speaker Name: Doug Lang
Co-speaker Bio: Doug Lang currently works as a software quality engineer for Big Data systems. Previously he worked as and Advanced support analyst for DB2 and subject matter expert for DB2 High Availability features.


Abstract:  Enhance business intelligence for your enterprise by combining DB2, Map/Reduce and Hadoop integration. Harvest information from unstructured data in your hadoop cluster and analyze it at breathtaking speed in IBM DB2 by leveraging DB2's data warehousing analytical capabilities.