Deriving value from the data lake
Where are the industry leaders and what are the sticking points?
Date: This event took place live on October 06 2016
Duration: Approximately 60 minutes.
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As businesses incorporate massive volumes of Internet of Things (IoT) and digital data, they've turned to modern architectures that include Hadoop data lakes for cost-effective storage and a processing engine that handles large data volumes. We surveyed 200 IT and business professionals to find best practices and sticking points for data lake usage. We'll share our results in this webcast, along with insights into why businesses still struggle to drive value from their Hadoop data lake—and what they can do about it.
You're invited to join Nik Rouda, Senior Analyst for Enterprise Strategy. Attendees can expect to learn:
About Nik Rouda, Senior Analyst for Enterprise Strategy Group
Over 20 years leadership experience in product & solution marketing and technical sales, with companies ranging from startups to global leaders, and in enterprise software, hardware and consumer electronics. Worked in more than 40 countries, with multinational corporations, government and military customers. Holds a ScB in Geophysics and Mathematics from Brown University in the USA, and a MBA from Cambridge's Judge Business School in the UK
About John Thuma, Director of Aster Analytics Strategy – Teradata
With over 25 years of experience in developing and implementing scalable analytics solutions, John is a recognized leader in big data, data warehousing, business intelligence, and advanced analytics. Currently the Director of Advanced Analytics Strategy and Customer Journey Team at Teradata Aster. His team supports global Data Science customers and their pathways to success. Their goal is to build content around Teradata Aster next generation advanced analytic solution and drive adoption in the market.