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The Big Data Journey: Four Common Use-Case Patterns

There is no shortage of interesting ideas to leverage Big Data for a variety of innovative applications that lower costs, improve customer engagement, reduce risk, and increase revenue streams with information-based products and services. It turns out that most all of these data-centric applications fall into a set of four Big Data use-case patterns. Many organizations begin their Big Data journey with Data Warehouse Optimization to lower and control data infrastructure costs with the vision to onboard more types of data and increase agility with a Managed Data Lake. Then in order to extract the most value from Big Data, organizations leverage MDM to improve customer understanding and engagement with 360 Customer Analytics. Finally, as companies connect with the Internet of Things they implement Real-Time Operational Intelligence. In this webinar you’ll learn about these four Big Data use-case patterns so you can begin your Big Data journey with confidence
Recorded Jul 17 2014 59 mins
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Presented by
Ming Zhang, BI Solution Architect, Corporate Technologies & John Haddad, Sr Director, Big Data Product Marketing, Informatica
Presentation preview: The Big Data Journey: Four Common Use-Case Patterns

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  • Title: The Big Data Journey: Four Common Use-Case Patterns
  • Live at: Jul 17 2014 6:00 pm
  • Presented by: Ming Zhang, BI Solution Architect, Corporate Technologies & John Haddad, Sr Director, Big Data Product Marketing, Informatica
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