Lightning Fast Cluster Computing with Spark and Cassandra

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Summary

Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.

Bio

Piotr Kołaczkowski is the Lead Software Engineer for the Analytics team at DataStax, where he develops analytic components of the DataStax Enterprise platform built on top of Apache Cassandra. Together with his team, he has recently worked on components integrating Apache Spark platform with Cassandra which is one of the key features of DSE 4.5.

About the conference

Code Mesh, the Alternative Programming Conference, focuses on promoting useful non-mainstream technologies to the software industry. The underlying theme is "the right tool for the job", as opposed to automatically choosing the tool at hand. By bringing together users and inventors of different languages and technologies (new and old), speakers will get the opportunity to inspire, to share experience, and to increase insight. Via presentations and case studies, we aim to raise awareness and extend the knowledge of all participants, mainstream and non-main stream users alike.

Jun 17, 2015

Related Topics:

• Architecture & Design
• Cassandra
• Columnar Databases
• Apache Spark
• Hadoop
• Big Data
• Integration
• Code Mesh 2014
• Distributed Systems
• NoSQL
• Database
• Code Mesh
• Enterprise Architecture
• Spark
• BigTable
• Infrastructure
• Architecture

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