ksqlDB is a database purpose-built for stream processing applications. What exactly does this mean? It incorporates many components found in almost every stream processing architecture.
This is important because almost all streaming architectures today are piecemeal solutions cobbled together from different projects. At a minimum, you need one subsystem to get events from existing data sources, another to store them, another to process them, and another to query against aggregation. Integrating each subsystem can be difficult. Everyone has their own mental models. Given all these complexities, it's easy to wonder: is it all worth it?
ksqlDB aims to provide a mental model to do everything you need. You can build a complete streaming application against ksqlDB, which has only one dependency: Apache Kafka®.
This course will comprehensively and meticulously introduce all the knowledge points of ksql and ksqlDB, allowing you to master the use of ksqlDB from beginner to proficient, from shallow to deep. Using ksqlDB, you can easily use a few lines of SQL statements to complete the development of streaming computing applications for real-time data.
[course requirements]
Some Apache Kafka/Confluent Kafka experience is required
Procedural experience with relational database SQL
Familiar with the Kafka Streams framework (kstream, ktable)
[course features]
Practise driven
Lots of real cases trainning
Step by step shallow to deep
The course content are straightforward
Covers most Confluent ksqlDB & ksql content
Rich comprehensive case help you fully understand
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