Streaming data with Apache Flink
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Start working with Apache Flink, a fraudster with a covered source, on which many of the world"s largest systems for processing stream data are based. In this book, you will study the funnel streaming of parallel streaming and learn how this technology is different from the traditional packet data processing.
F. Weske and V. Kalavri, employed in the Apache Flink project from the first days, will show you how to create scalable streaming applications using the API Flink Datastream, as well as continuously execute and maintain these applications in operating environments.
Stream processing is ideal for many tasks: preparing data with a low delay, stream analytics and information panels in real time, early alert and detection of fraud. You can process streaming data of any type, including mutual-intensity with the user, financial transactions and the data of the Internet of things, immediately after receipt
F. Weske and V. Kalavri, employed in the Apache Flink project from the first days, will show you how to create scalable streaming applications using the API Flink Datastream, as well as continuously execute and maintain these applications in operating environments.
Stream processing is ideal for many tasks: preparing data with a low delay, stream analytics and information panels in real time, early alert and detection of fraud. You can process streaming data of any type, including mutual-intensity with the user, financial transactions and the data of the Internet of things, immediately after receipt
Author:
Author:Kalari Vasilika, Weske Fabian
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-97060-880-7
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