People have questions about where to focus their best efforts with Hadoop. The guide and tool for Hadoop Readiness Assessment provide answers for many of these questions.
Seattle, WA (PRWEB) November 04, 2015
TDWI, the leading source for in-depth education and research on all things data, today announced its new online Hadoop Readiness Assessment Tool, a browser-based questionnaire that asks how prepared an enterprise is to get full value from Hadoop. The groundbreaking tool objectively measures an enterprise’s readiness to adopt and implement Hadoop in their own environment and presents scores for five key dimensions.
The accompanying TDWI Hadoop Readiness Guide provides a primer on Hadoop, an explanation of the Readiness Model that the assessment scores are based on, and tips for interpreting these scores. The guide helps users prepare to complete the Assessment Tool and interpret the scores displayed at the end of the questionnaire, but it is equally valuable as a standalone introduction to Hadoop and best practices for success.
An enterprise’s readiness is assessed across the five key dimensions: organizational readiness, big data readiness, data management readiness, analytics readiness, and IT readiness. Questions in the online assessment are weighted differently depending on their relative importance. Because organizations can be at different readiness levels in each of these five dimensions, the tool scores each section separately and also provides an overall score that participants can compare to averages of other organizations.
“At TDWI we regularly communicate with a wide range of people and work with organizations that are considering Hadoop as part of their solutions for big data, advanced analytics, data warehouse modernization, data exploration, and so on,” writes Fern Halper, director of TDWI Research for advanced analytics, in the guide. “They all have questions about where to focus their best efforts with Hadoop, and the guide and tool for Hadoop Readiness Assessment provide answers for many of these questions.”
About the Authors
Philip Russom is a well-known figure in data warehousing and business intelligence, having published more than 500 research reports, magazine articles, opinion columns, speeches, Webinars, and more. Today, he’s the director of TDWI Research for data management, where he oversees many of the company’s research-oriented publications, services, and events. Before joining TDWI in 2005, Russom was an industry analyst covering BI at Forrester Research and Giga Information Group. He also ran his own business as an independent industry analyst and BI consultant and was a contributing editor with leading IT magazines. Before that, Russom worked in technical and marketing positions for various database vendors. You can reach him at email@example.com, @prussom on Twitter, and on LinkedIn at linkedin.com/in/philiprussom.
Fern Halper is director of TDWI Research for advanced analytics, focusing on predictive analytics, social media analysis, text analytics, cloud computing, and other “big data” analytics approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology. Halper is co-author of "Dummies" books on cloud computing, hybrid cloud, service-oriented architecture, service management, and big data. She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for AT&T Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her at firstname.lastname@example.org or follow her on Twitter @fhalper.
For 20 years, TDWI has provided individuals and teams with a comprehensive portfolio of business and technical education and research about all things data. The in-depth, best-practices-based knowledge TDWI offers can be quickly applied to develop world-class talent across your organization’s business and IT functions to enhance analytical, data-driven decision making and performance. TDWI advances the art and science of realizing business value from data by providing an objective forum where industry experts, solution providers, and practitioners can explore and enhance data competencies, practices, and technologies. TDWI offers five major conferences as well as topical seminars, onsite education, membership, certification, live Webinars, resourceful publications, industry news, and in-depth research. See tdwi.org or follow us on Twitter @TDWI.
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Meighan Berberich, TDWI
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