Explore the internal architecture and advanced features of ksqlDB in this comprehensive tutorial series. Dive deep into the powerful stream processing capabilities of ksqlDB, which enables building real-time applications on Apache Kafka®. Learn about stateless and stateful operations, streams-table and table-table joins, and how ksqlDB achieves fault tolerance, elastic scaling, and high availability. Gain hands-on experience joining an event stream with a table on Confluent Cloud. Master the use of ksqlDB's SQL-like syntax, materialized views, and pre-built connectors to efficiently process and transform real-time data streams at scale.
KSQLDB & Advanced Stream Processing Tutorials - Inside KSQLDB
Overview
Syllabus
Inside ksqlDB Course Trailer | Confluent Developer.
Inside ksqlDB: Introduction to ksqlDB's Architecture.
Inside ksqlDB: Stateless Operations in ksqlDB – Mapping, Filtering, and More.
Inside ksqlDB: Stateless Operations in ksqlDB – Aggregations, Materialized Views, and Pull Queries.
Inside ksqlDB: How Streaming Joins Work in ksqlDB.
Inside ksqlDB: Joining an Event Stream with a Table on Confluent Cloud (Hands On).
Inside ksqlDB: Elastic Scaling and Fault Tolerance in ksqlDB.
Inside ksqlDB: High Availability in ksqlDB.
Taught by
Confluent
