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The Economics of SQL on Hadoop

As organizations clamor to utilize their new investments in Hadoop ecosystems AND leverage their existing analytical infrastructures, many rush to integrate SQL as a data access layer to leverage existing skill sets and get started faster.

However, this approach relegates Hadoop to a data management and processing platform rather than the storage and compute engine optimized for analytical workloads it was purpose-built to be.

This webinar featuring EMA and Datameer, will discuss the technical limitations of SQL on Hadoop and propose alternative ways to fully maximize Hadoop investments.

Leave this webinar understanding:
- How SQL negates the inherent benefits of Hadoop
- Why technological paradigm changes can sometimes be good
- Use cases when SQL on Hadoop makes sense
Recorded Nov 5 2014 61 mins
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Presented by
Matt Schumpert, Director of Product Management, Datameer and John Myers, Analyst, EMA
Presentation preview: The Economics of SQL on Hadoop

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Datameer makes big data analytics simple. Datameer gives users a unified, self-service environment to integrate, prepare, analyze, visualize, and operationalize big data analytics. Hundreds of customers, including CIOs, CMOs, CTOs, doctors, scientists, law enforcement officials, and even Olympic athletes all rely on Datameer to help them get from raw data to insight faster than ever. Datameer combines Hadoop’s unlimited storage and compute power with a common spreadsheet interface and powerful functionality, quickly transforming businesses into agile, data-driven organizations.

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  • Title: The Economics of SQL on Hadoop
  • Live at: Nov 5 2014 4:00 pm
  • Presented by: Matt Schumpert, Director of Product Management, Datameer and John Myers, Analyst, EMA
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