About

Join Cloudera to discuss the future of Spark and Hadoop
Toronto, Canada | Thursday, September 8, 2016 | 12:00 pm - 2:00 pm

Hosted at the Hard Rock Cafe | 279 Yonge St | Toronto, ON, Canada M5B 1N8| 

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 LunchNLearn, 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

William Chow, Systems Engineer, Cloudera

More

Will Chow is a Systems Engineer at Cloudera, focusing on helping enterprises in Eastern Canada solve big data problems using Spark and Hadoop. Will started his career as a Software Development Engineer for several years working on enterprise data replication and integration technologies. Will then joined IBM as a subject matter expert and technical specialist in various areas such as information integration, data warehousing and IBM’s big data platform which included PureData System for Analytics (Netezza), BigInsights and Streams. Will holds an Honours Bachelor of Science in Computer Science from the University of Toronto.

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

* Breakfast will be served

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