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We're here to help you find itUnlock the potential of data stream processing with our comprehensive "KSQL on ksqlDB for Stream Processing" course. Over two immersive days, you will master ksqlDB and KSQL, learning to set up, manipulate, and deploy streams and tables effectively. Starting from basic setup to complex queries and production deployment, you will gain hands-on experience through various labs. Topics include KSQL setup, joins, data encodings, and windowing, ensuring you are equipped to apply these skills in real-world scenarios. Ideal for those with a basic knowledge of Kafka, this course will elevate your proficiency in modern stream processing.
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♱ Excluding VAT/GST
Classroom Training price is on request
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
These prerequisites are designed to ensure you have a foundational understanding that will help you maximize your learning during the course. If you meet these criteria, you're well-prepared to embark on this advanced training in stream processing with ksqlDB!
KSQL on ksqlDB for Stream Processing is a detailed course designed for IT professionals looking to master stream processing using ksqlDB with Apache Kafka, ideal for those seeking advanced data stream skills.
The KSQL on ksqlDB for Stream Processing course is designed to empower participants with a comprehensive understanding of ksqlDB and KSQL, equipping them with the skills to set up, manipulate, and deploy ksqlDB applications in various environments.
KSQL on ksqlDB for Stream Processing is a detailed course designed for IT professionals looking to master stream processing using ksqlDB with Apache Kafka, ideal for those seeking advanced data stream skills.
The KSQL on ksqlDB for Stream Processing course is designed to empower participants with a comprehensive understanding of ksqlDB and KSQL, equipping them with the skills to set up, manipulate, and deploy ksqlDB applications in various environments.
