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Streaming Architecture: New Designs Using Apache Kafka and MapR Streams

MRP: Rs.350.00
Price in points: 350 points
9789352136001
In stock
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More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm.

Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases.

Ideal for developers and non-technical people alike, this book describes:

  • Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer
  • New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code
  • Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache Apex
  • How stream-based architectures are helpful to support microservices
  • Specific use cases such as fraud detection and geo-distributed data streams

Books

Author:
Ted Dunning
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
No
Publication Date:
2017
Publisher:
Shroff/O'Reilly

Table of Contents (9789352136001_toc.pdf, 488 Kb) [Download]