Distilling Hadoop Patterns of Use and How You Can Use Them to Get Started Today

Distilling Hadoop Patterns of Use and How You Can Use Them to Get Started Today

 

Available On Demand
Duration 60min
Speakers
Mike Gualtieri
Principal Analyst Serving Application Development & Delivery Professionals
Forrester Research
Mike Gualtieri
Mike's research is focused on software technology, platforms, and practices that enable application development professionals to deliver faster agility, prescient customer experiences, and breakthrough operational efficiency. His key technology and platform coverage areas are big data predictive analytics, blazing-fast performance best practices, user experience design, and emerging technologies that make software faster and smarter. Mike is also a leading expert on the intersection of business strategy, architecture, design, and creative collaboration. Mike is a recipient of the Forrester Courage Award for making bold calls that inspire leaders and guide great decisions. He is also the record-holder of the most-read Forrester blog post.
Shaun Connolly
VP of Corporate Strategy
Hortonworks
Shaun Connolly
Shaun Connolly is VP Corporate Strategy for Hortonworks and is focused on enabling Apache Hadoop to be the next-generation enterprise data platform. Shaun has over 20 years of experience in the software industry, with a track record of building early stage and midsize software companies into successful market leaders. Connolly was previously VP of Product Strategy at VMware where he focused on defining VMware’s cloud application platform vision. Shaun has also held VP and Director level positions at SpringSource, Red Hat, JBoss, Princeton Softech, HP, Bluestone Software, and Primavera Systems. Shaun holds a B.S. in Electrical Engineering from Drexel University.

There certainly is no shortage of hype when it comes to the term "Big Data" as vendors and enterprises alike highlight the transformative effect of building actionable insight from the deluge of data that is now available to us all. But amongst the hype, practical guidance is often lacking: why is Apache Hadoop most often the technology underpinning "Big Data"? How does it fit into the current landscape of databases and data warehouses that are already in use? And are there typical usage patterns that can be used to distill some of the inherent complexity for us all to speak a common language? And if there are common patterns, what are some ways that I can apply them to my unique situation?

Agenda:

  • Learn what types of data are being captured to build "Big Data" applications
  • Discover where Hadoop most often fits into the data landscape for the typical enterprise
  • Hear how common patterns of use can simplify your approach and help you to find a usage that makes sense for your business
  • See how you other organizations have used the usage patterns to get started on their Big Data journey
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