Building Stream Processing Applications with Apache Kafka Using KSQL

Big Data LDN 2019 | Building Stream Processing Applications with Apache Kafka Using KSQL | Robin Moffatt
Course info
Level
Intermediate
Updated
Dec 13, 2019
Duration
31m
Table of contents
Building Stream Processing Applications with Apache Kafka Using KSQL
Description
Course info
Level
Intermediate
Updated
Dec 13, 2019
Duration
31m
Description

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!

About the author
About the author

Big Data LDN is the UK’s largest data and analytics conference and exhibition.

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