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Apache: Big Data Europe 2016
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Tuesday, November 15 • 12:00 - 12:50
Using Apache Calcite for Enabling SQL and JDBC Access to Apache Geode and Other NoSQL Data Systems - Christian Tzolov, Pivotal

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When working with BigData & IoT systems we often feel the need for a Common Query Language. The system specific languages usually require longer adoption time and are harder to integrate within the existing stacks.

To fill this gap some NoSql vendors are building SQL access to their systems. Building SQL engine from scratch is a daunting job and frameworks like Apache Calcite can help you with the heavy lifting. Calcite allow you to integrate SQL parser, cost-based optimizer, and JDBC with your NoSql system.

We will walk through the process of building a SQL access layer for Apache Geode (In-Memory Data Grid). I will share my experience, pitfalls and technical consideration like balancing between the SQL/RDBMS semantics and the design choices and limitations of the data system.

Hopefully this will enable you to add SQL capabilities to your prefered NoSQL data system.

avatar for Christian Tzolov

Christian Tzolov

Pivotal Inc
Christian Tzolov, Pivotal technical architect, BigData and Hadoop specialist, contributing to various open source projects. In addition to being an Apache® Committer and Apache Crunch PMC Member, he has spent over a decade working with various Java and Spring projects and has led several enterprises on large scale artificial intelligence, data science, and Apache Hadoop® projects. twitter: @christzolov blog: http://blog.tzolov.net

Tuesday November 15, 2016 12:00 - 12:50
Nervion/Arenal II/III

Attendees (28)