KSQL on ksqlDB for Stream Processing Course Overview
The 'KSQL on ksqlDB for Stream Processing Course Overview' by Open Source equips data engineers, analysts, and software developers with essential skills in stream processing. This course empowers professionals to harness the power of real-time data, enabling efficient decision-making and innovative solutions in today’s data-driven landscape.
Course outline & what you'll learn
- Introduction to KSQL and ksqlDB
Overview of stream processing
- Importance of KSQL in real-time data analysis
- Installation and configuration
- Connecting ksqlDB to Kafka
- Understanding KSQL syntax and statements
- Creating streams and tables
- Data types and transformations
- SELECT statements and filtering data
- Aggregations and windowed queries
- Joining streams and tables
- Stream processing concepts
- Handling late data and windowing
- User-defined functions (UDFs)
- Using ksqlDB with Kafka Connect
- Visualization and monitoring tools
- Performance tuning and optimization
- Managing schemas and data evolution
- Case studies of ksqlDB in action
- Building applications with KSQL
- Resources for further learning
- Community and support channels
Why train with Traincrest
This Open Source course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.