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Building a flexible, real-time Big Data Applications platform on Cassandra

  • Apr 23, 2014 · 6:30 PM

For this meetup, we are excited to be joined by Clint Kelly, a member of the Technical Staff over at WibiData.

What You'll Learn at this Meetup:

The Kiji Project is a modular, open-source framework that enables developers to efficiently build real-time Big Data applications. Kiji is built upon popular open-source technologies such as Cassandra, HBase, Hadoop, and Scalding, and contains components that implement functionality critical for Big Data applications, including the following:

• Support for evolvable schemas of complex data types

• Batch training of machine learning models with Hadoop

• Real-time scoring with trained modelsIntegration with Hive and R

• A REST endpoint

Recently, we have updated Kiji to use Cassandra as a backing data store (previously, Kiji worked only with HBase).  In this talk, we describe the process of integrating Cassandra and Kiji. Topics we cover include the following:

• The Kiji architecture and data model

• Implementing the Kiji data model in Cassandra using the Java driver and CQL3

• Integrating Cassandra with Hadoop 2.x

• Building a flexible middleware platform that supports Cassandra and HBase (including projects that use both simultaneously)

• Exposing unique features of Cassandra (e.g., variable consistency) to Kiji users

About Clint Kelly:

Clint Kelly is a Member of the Technical Staff at WibiData and is a contributor to the Kiji Project. Prior to joining WibiData, Clint worked in the semiconductor industry for eight years.

Also a big thank you to Disqus for hosting!

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  • Theo C.

    Great talk last night. Totally unrelated, but I'm hosting a free happy hour show next Thursday, if anyone is interested. Nerds, Japanese and good music, what more could you ask for?

    April 24, 2014

  • A former member
    A former member

    May you please upload the slides?

    April 23, 2014

Our Sponsors

  • DataStax

    Supporting the group with food, beverage, SWAG, venues and speakers.

  • Disqus

    Venue, Speakers, Food/Beverage.

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