Expanded Library

Building Stream Processing Applications with Apache Kafka Using KSQL

by Big Data LDN

Big Data LDN 2019 | Building Stream Processing Applications with Apache Kafka Using KSQL | Robin Moffatt

What you'll learn

Apache Kafka is a de facto standard streaming data processing platform, being widely deployed as a messaging system, and having a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the needs that common attend real-time message processing. But there's more! KSQL is a declarative, SQL-like stream processing language that lets you easily define powerful stream-processing applications. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax. Filtering one stream of data into another, creating derived columns, even joining two topics together‚ it's all possible with KSQL. Watch Robin Moffatt's talk for a thorough overview of KSQL. There'll be plenty of live coding on streaming data to clearly illustrate KSQL's awesome power!

Table of contents

Building Stream Processing Applications with Apache Kafka Using KSQL
31mins

About the author

Big Data LDN (London) is a free to attend conference and exhibition, hosting leading data and analytics experts who are ready to equip you with the tools you need to deliver your most effective data-driven strategy. Discuss your business requirements with 130 leading technology vendors and consultants, hear from 150 expert speakers in 9 technical and business-led conference theaters, and network with thousands of fellow data experts.

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