May 1, 2024
3 minute read
Apache Kafka is open source software for building real-time data pipelines and streaming apps. Developed by the Apache Software Foundation, Kafka has become one of the most widely adopted real-time data technologies in the world. Confluent Platform is a commercial distribution of Apache Kafka that includes additional support, features, and capabilities. It is offered by Confluent, Inc.
Why Learn Confluent Platform?
There are several reasons why you might want to learn about Confluent Platform, including:
jrmsu8|
Find a path to becoming a Confluent Platform. Learn more at:
OpenCourser.com/topic/jrmsu8/confluent
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Confluent Platform.
Provides a comprehensive overview of real-time data analytics with Flink, a popular open-source streaming platform. It covers topics such as Flink's architecture, components, and use cases. It good choice for developers who want to learn more about the fundamentals of streaming data and how to use Flink to build real-time data analytics applications.
Provides a comprehensive overview of data-intensive applications, including topics such as data modeling, data storage, and data processing. It good choice for developers who want to learn more about the fundamentals of data management and how to build scalable, high-performance data-intensive applications.
Provides a comprehensive overview of data-intensive distributed systems, including topics such as data modeling, data storage, and data processing. It good choice for developers who want to learn more about the fundamentals of data management and how to build scalable, high-performance data-intensive distributed systems.
Provides a practical guide to using Apache Kafka to build and manage real-time data pipelines. It covers a wide range of topics, including data ingestion, stream processing, and data storage.
Provides a practical guide to using Apache Kafka to build and manage real-time data pipelines. It covers a wide range of topics, including data ingestion, stream processing, and data storage.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/jrmsu8/confluent
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