How To Radically Improve Productivity in the Hadoop Data Lake Date: This event took place live on April 01 2015 Presented by: Michael Lang, Chris Twogood Duration: Approximately 60 minutes. Cost: Free Questions? Please send email to Description:Watch the webcast in its original formatData lakes are growing rapidly within organizations, fueled by an explosion of new data sources, applications, and users in the environment. Yet information about the data is often shared through tribal knowledge, which becomes unsustainable as the data lake grows. Users demand quick and easy access to basic aspects of data within the data lake:
According to Nick Heudecker, Research Director at Gartner, "Without descriptive metadata, and a mechanism to maintain it, the data lake risks turning into a data swamp. Without metadata, every subsequent use of data means analysis starts from scratch, like a form of data amnesia." What if you could:
Register for this webcast presented by Chris Twogood, VP of Teradata Product & Services Marketing, and Michael Lang, Loom Product Manager, as they discuss and demonstrate Loom as a solution to these challenges. About Chris TwogoodChris Twogood is Vice President of Product and Services Marketing for Teradata. He is responsible for marketing Teradata products (database, utilities, and platform), Aster Products and Hadoop as well as Teradata services (professional and customer services), plus technical field sales support teams. Chris has twenty-five years of experience in the computer industry specializing in Data Warehousing, Decision Support, Customer Management and Appliance platforms. Chris holds a Bachelor of Science degree from California State University at Long Beach with an emphasis in Marketing. He resides in San Diego. About Michael LangMichael joined Teradata in July 2014 as part of the Teradata's acquisition of Revelytix to lead the technical field operations for Loom. Michael formerly was VP of Sales Engineering at Revelytix, which he originally joined in 2007. As lead on Revelytix customer engagements, Michael has a deep, practical understanding of enterprise data management technologies, with a focus on Hadoop. Michael graduated from The University Maryland, College Park with a Bachelors of Science in Mathematics. |
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