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Books > Computing & IT > Computer programming > Programming languages
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Apache Kafka Quick Start Guide - Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications (Paperback)
Loot Price: R810
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Apache Kafka Quick Start Guide - Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications (Paperback)
Expected to ship within 18 - 22 working days
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Process large volumes of data in real-time while building high
performance and robust data stream processing pipeline using the
latest Apache Kafka 2.0 Key Features Solve practical large data and
processing challenges with Kafka Tackle data processing challenges
like late events, windowing, and watermarking Understand real-time
streaming applications processing using Schema registry, Kafka
connect, Kafka streams, and KSQL Book DescriptionApache Kafka is a
great open source platform for handling your real-time data
pipeline to ensure high-speed filtering and pattern matching on the
fly. 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. What you will learn How
to validate data with Kafka Add information to existing data flows
Generate new information through message composition Perform data
validation and versioning with the Schema Registry How to perform
message Serialization and Deserialization How to perform message
Serialization and Deserialization Process data streams with Kafka
Streams Understand the duality between tables and streams with KSQL
Who this book is forThis book is for developers who want to quickly
master the practical concepts behind Apache Kafka. The audience
need not have come across Apache Kafka previously; however, a
familiarity of Java or any JVM language will be helpful in
understanding the code in this book.
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