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Look & Tell SF: Hadoop for Advanced Analytics: Pipedream or Reality?

Amazon Web Services, Craftsy, and Looker discuss the technical and business challenges of analytics on Hadoop. This panel includes topics including common Hadoop use cases & rationale, roles of Hadoop vendors, Hadoop for MPP databases. Speakers include: -Jonathan Fritz - Senior Product Manager, Amazon Web Services -Lucas Thelosen - Director of Business Insights, Craftsy -Tait Kirkham - Vice President of Customer Success, Looker -Todd Nemet - Analyst and Big Data Product Manager, Looker

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SQL on Hadoop for Enterprise Analytics

Hear why SQL on Hadoop is the future of analytics. Mike Xu, Looker Data Architect and Evangelist shares how...

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Look & Tell SF: Hadoop for Advanced Analytics: Pipedream or Reality?

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The Hadoop ecosystem has improved markedly over the past few years. Moreover, MPP databases seem to slot in nicely as complementary tools to map-reduce batch jobs, in that they allow analytics teams t

Hear why SQL on Hadoop is the future of analytics. Mike Xu, Looker Data Architect and Evangelist shares how updates to SQL query engines like Spark and Presto are allowing on schema database querying.