IoT Analytics

If you think Hadoop is not in your future, think again. According to a recent survey, 97% of organizations working with Hadoop, anticipate that they will onboard Analytics and BI workloads to Hadoop. When this happens, the companies that have disregarded the Big Data opportunity, may be left behind. The good news is that onboarding your Business Intelligence workloads to Hadoop is not as complicated as it used to be just a few short years ago. If you understand some key concepts, the transition can be a lot simpler and more successful - allowing you to recycle current skillsets, while avoiding both a rip and replace of your technical stack or replacement of business analysts with data scientists. In this interactive session, Josh Klahr, VP of Product at AtScale, will take you through real-life examples of company successes with BI on Hadoop. He will dissect lessons and learnings gathered along the Hadoop journey. Some of these include: *Don’t move and copy data *Don’t have multiple definitions of reality *Don’t scale up with proprietary hardware *Don’t lock yourself in proprietary stacks This session will also offer best practices on what to ‘DO’’ and a good set of rules in what Klahr calls the “Do’s and Don’ts of BI on Hadoop”.

June 21, 2017

 

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