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Streaming Data: Understanding the real-time pipeline, by Andrew Psaltis
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Many of the technologies discussed in the book - Spark, Storm, Kafka, Impala, RabbitMQ, etc. - are covered individually in other books. Throughout this book, readers will get a clear picture of how these technologies work individually and together, gain insight on how to choose the correct technologies, and discover how to fuse them together to architect a robust system.
Streaming Data introduces the concepts and requirements of streaming and real-time data systems. Readers will develop a foundation to understand the challenges and solutions of building in-the-moment data systems before committing to specific technologies. Using lots of diagrams, this book systematically builds up the blueprint for an in-the-moment system concept by concept. This book focuses on the big ideas of streaming and real time data systems rather than the implementation details.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
- Sales Rank: #598320 in Books
- Published on: 2017-03-31
- Original language: English
- Dimensions: .0" h x .0" w x .0" l, .0 pounds
- Binding: Paperback
- 300 pages
About the Author
Andrew Psaltis is a software engineer and architect focused full time on building massively scalable real-time analytics systems using Spark, Kafka, Storm, Hadoop, and WebSockets.
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