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    Stream Processing Frameworks: Apache Kafka and ksqlDB

    Posted By: IrGens
    Stream Processing Frameworks: Apache Kafka and ksqlDB

    Stream Processing Frameworks: Apache Kafka and ksqlDB
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 112 MB
    Instructor: Harsh Karna

    Learn how to build scalable, real-time data pipelines using Apache Kafka, Kafka Streams, and ksqlDB.

    What you'll learn

    Modern applications demand low-latency processing of events from clickstreams to financial transactions. Apache Kafka and its ecosystem offer a powerful foundation for building scalable, real-time pipelines.

    In this course, Stream Processing Frameworks: Apache Kafka and ksqlDB, you’ll gain the ability to design and implement streaming logic for real-time applications. First, you’ll explore Kafka’s architecture and how it supports scalable event streaming. Next, you’ll discover how Kafka Streams enables in-code transformations using Java. Finally, you’ll learn how to define streaming logic using SQL with ksqlDB.

    When you’re finished, you’ll be equipped to build real-time pipelines with Kafka, Kafka Streams, and ksqlDB ready for production-scale workloads.


    Stream Processing Frameworks: Apache Kafka and ksqlDB