About

Join Cloudera to discuss the future of Spark and Hadoop

Tuesday, July 19, 2016 | 12pm - 2pm

The Unknown Brewing Company
1327 S Mint St, Charlotte, NC, 28203

Apache Spark is one of the most popular open source projects today, and for good reason. This general purpose data processing framework for Hadoop provides huge advantages to data engineers and data scientists - with powerful, easy to use APIs and faster performance for batch and stream processing. Spark has been adopted by hundreds of organizations across a wide range of industries to power some of the most cutting edge use cases.

With its popularity, development ease, and performance benefits, Spark is primed to become the next general processing layer for Hadoop - succeeding MapReduce. Join Cloudera to learn more about this powerful tool and how we are uniting Spark and Hadoop into a cohesive, enterprise-grade platform through the One Platform Initiative.

During this Lunch n' Learn, Josh Robinson at Cloudera will discuss:

  • What Spark is and how it fits into the Hadoop ecosystem
  • Real world use cases from Cloudera customers
  • The One Platform Initiative and where Spark is headed
  • The future of data processing on Hadoop

 

Speaker

Joshua Robinson, Sr. Consultant, Cloudera

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Josh has worked for Enterprise manufacturers from Hardware and High End Unix vendors to the leader in traditional Data Management. In those positions he has worked with customers from regional educators to international financial institutions, developing solutions that drive value from existing infrastructure and new projects that expand their value opportunities. Josh has been working in the big data space for the last 3 years enabling customer to collect, analyze, and drive new insights with their data. His recent project include working with customers to implement ingestion and analysis of whole genomes, centralizing data from siloed R&D for a pharmaceuticals manufacture, and using real time click stream and video viewership data to do market analysis in near real time.

Time Title
12:00 PM Guest arrival and networking
12:15 PM Welcome & introductins | Lunch is served
12:30 PM Using Spark and Hadoop: The One Platform Initiative
1:30 PM  Q&A
2:00 PM Adjourn

* Lunch will be served

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