Who's Afraid of the Big (Data) Bad Wolf? Are You?

Who's Afraid of the Big (Data) Bad Wolf? Are You?

 

Available On Demand
Duration 60min
Speakers
R "Ray" Wang
Principal Analyst & Founder
Constellation Research, Inc.
R "Ray" Wang
R “Ray” Wang is the Principal Analyst, Founder, and Chairman of Constellation Research, Inc. He’s also the author of the popular business strategy and technology blog “A Software Insider’s Point of View”. With viewership in the 10′s of millions of page views a year, his blog provides insight into how disruptive technologies and new business models impact the enterprise.

Wang has held executive roles in product, marketing, strategy, and consulting at companies such as Forrester Research, Oracle, PeopleSoft, Deloitte, Ernst & Young, and Johns Hopkins Hospital. He is a prominent and dynamic keynote speaker and research analyst working with clients on digital, innovation, business model design, engagement strategies, customer experience, matrix commerce, and big data.

His Silicon Valley research firm, Constellation Research, Inc., advises Global 2000 companies on the future, business strategy, and disruptive technology adoption. Ray is a regular contributor to Harvard Business Review and well quoted in The Wall Street Journal, Forbes, Bloomberg, CNBC TV, Reuters, IDG News Service, and other global media outlets.
 
Beate Porst
Product management, InfoSphere Information Integration
IBM
Beate Porst

Successful Big Data Projects require Big Data Integration, since most Hadoop initiatives involve collecting, moving, transforming, cleansing, integrating, exploring, and analyzing volumes of disparate data.

Register for this webinar to learn about:

  • The current state of the Big Data market
  • Customer success stories with Big Data and Big Data Integration
  • The 5 best practices when it comes to Big Data Integration

Attend this webinar to learn about client experiences with Big Data projects, as well as learning about the 5 best practices for big data integration, so that you can tame the big (data) bad wolf.

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