Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the ?y. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines.
This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment.
Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows.
Zahle einfach mit Karte, Klarna, Apple Pay oder Google Pay. Nicht zufrieden? Du hast immer ein 14-tägiges Widerrufsrecht. Lies mehr in unseren AGB. Hast du Fragen, schreib uns eine E-Mail an hello@memmo.org.
Memmo macht das Lernen einfacher – wo auch immer du bist. Bei uns findest du deine Kursbücher und smarte Lerntools an einem Ort: Zusammenfassungen, Quizzes, Podcasts und Lernkarten. Und Ted, dein Lernbuddy, beantwortet alles, was du wissen möchtest. Über 50.000 Studierende lernen bereits hier – gemacht, damit du schneller lernst und weniger Stress hast.