October 2020
Beginner to intermediate
356 pages
6h 50m
English
Content preview from Data Engineering with Python
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Chapter 12: Building a Kafka Cluster
In this chapter, you will move beyond batch processing – running queries on a complete set of data – and learn about the tools used in stream processing. In stream processing, the data may be infinite and incomplete at the time of a query. One of the leading tools in handling streaming data is Apache Kafka. Kafka is a tool that allows you to send data in real time to topics. These topics can be read by consumers who process the data. This chapter will teach you how to build a three-node Apache Kafka cluster. You will also learn how to create and send messages (produce) and read data from topics (consume).
In this chapter, we're going to cover the following main topics:
- Creating ZooKeeper and Kafka clusters ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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