RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Are You Ready for Hadoop? Introducing the TDWI Hadoop Readiness Assessment

TDWI Speaker: Fern Halper, TDWI Research Director

TDWI Speaker: Philip Russom, TDWI Research Director

Date: Thursday, February 11, 2016

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

A recent TDWI survey shows that Hadoop clusters in production are up 60 percent over two years. This is no surprise because use cases for Hadoop in data warehousing, business intelligence, and analytics are well established. In addition, applications of Hadoop for archiving, content management, and operational applications are emerging into prominence. These developments show that Hadoop usage is diversifying broadly across and within mainstream enterprises, such that Hadoop will eventually be a common platform for many purposes in many IT portfolios.

Hence, many organizations are looking to deploy Hadoop. These organizations want to understand if they are ready for Hadoop and where they stand relative to other companies in terms of readiness. In November 2015, TDWI launched its Hadoop Readiness Assessment, an online tool that can help guide IT and business professionals on their Hadoop journey. It assesses companies across five dimensions that measure readiness for Hadoop implementations—per programs for big data, analytics, data management, IT, and so on.

Join this roundtable Webinar to learn more about the TDWI Hadoop Readiness Assessment and hear some preliminary results from the data gathered by the online tool. Co-authors Philip Russom and Fern Halper will lead a lively discussion with the sponsors of the assessment tool and get their take on Hadoop adoption.

You will learn:
  • The keys to success for Hadoop readiness
  • Hadoop readiness patterns
  • Where organizations are in terms of readiness
  • Best practices for moving ahead with Hadoop

Fern Halper, Ph.D., Philip Russom, Ph.D.

Content Provided by TDWI, IBM, Cloudera, MapR, MarkLogic, Teradata


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