AllDocumentsVideosWebinarsPresentationsDemos/Use Cases

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

Replay N/A

Slides N/A

You must be logged in to access our webinar replays and downloads. Need an account? Register now!

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

Webinar dateMay 14, 2013


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
Contact Us
Hortonworks provides enterprise-grade support, services and training. Discuss how to leverage Hadoop in your business with our sales team.
Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Integrate with existing systems
Hortonworks maintains and works with an extensive partner ecosystem from broad enterprise platform vendors to specialized solutions and systems integrators.

Thank you for subscribing!