Building Stream Processing Applications with Apache Kafka Using KSQL
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!
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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.