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F06 - With the Emergence of Big Data, Where do Relational Technologies Fit?

Session Number: 1199
Track: Big Data and Analytics
Session Type: Podium Presentation
Primary Presenter: Troy Coleman [Sr. Principal Product Manager - CA Technologies]

Laveen => Wed, May 14, 2014 (09:15 AM - 10:15 AM)

Speaker Bio: Troy L. Coleman is a senior principal product manager for CA Technologies where he is responsible for CA Database Management for DB2 solutions as well as Chorus™ for DB2 Database Management. He is an officer for the Midwest Database User Group. He has extensive experience in all facets of database systems development, including systems analysis and design, database and system administration, data analysis and application development. He has experience on many leading hardware platforms, including DB2 for z/OS, Windows, AIX, Solaris and Linux. Troy was the architect and lead developer of the first wireless database management software for DB2 UDB, PocketDBA, by Expand Beyond Corp. He is an internationally recognized speaker specializing in DB2 database administration and application architecture. Troy is a former adjunct professor teaching database management systems for Concordia University River Forest.
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
Technical areas this presentation will apply to: Data Warehousing and Business Intelligence
Objective 1: Provide an overview of the differences between Big Data and Traditional Relational Technologies.
Objective 2: Discuss how the Relational and Big Data Paradigms can work together.
Objective 3: Analyze a "best fit" approach for Big Data vs. Relational technologies
Objective 4: Discuss how Data Modeling can assist with a overall view of the information landscape.

Abstract:  The recent focus on Big Data in the data management community brings with it a paradigm shift—from the more traditional top-down, “design then build” approach to data warehousing and business intelligence, to the more bottom up, “discover and analyze” approach to analytics on Big Data. Where do relational data bases, data modeling, and data warehousing fit in this new world of Big Data? Do they go away, or can they evolve to meet the emerging needs of this exciting new technology? Join industry expert Donna Burbank as she discusses the issues and opportunities that exist for data management professionals in the Big Data environment.

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