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Streaming Data: Understanding the real-time pipeline

3.51  ·  Rating details ·  65 ratings  ·  13 reviews
Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and m ...more
Paperback, 216 pages
Published June 22nd 2017 by Manning Publications
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Jul 09, 2017 rated it liked it
A nice overview of various challenges to be solved when implementing a streaming data analytics system. Being new to this topic, I found a lot of useful high-level terms explained, as well as some interesting data processing algorithms mentioned (I finally understood the idea of a Bloom Filter).

With that said, I didn't particularly like the writing style itself, where same thoughts would be repeated over and over again, diagrams were quite simplistic, and the sheer number of typos through the b
Nov 13, 2018 rated it really liked it
It covers the basics of streaming data. Don't expect too much deep talk on tools. Instead this book covers the techniques around streaming data. ...more
Apr 18, 2018 rated it really liked it
The first chapter presents a pipeline model of various blocks/tiers in a generic data streaming system and later chapters address each of those blocks explaining various aspects and problems related to its implementation.

The following tiers are identified and described:

Data is entered into the system via a Collection tier. Various models are presented that can be used and considerations are given on scaling and fault-tolerance issues.

The importance of a Message Queuing tier to decouple data coll
Zbyszek Sokolowski
I found subtitle 'Understanding the real-time pipeline" very accurate. This is short book with overview how to deal with streaming data.
Book is very good starter book for the topic. It is only 216 pages. It shows different perspectives and what we encounter in real life designing data stream digesting analyzing application. Based on example it presents architecture of streaming pipeline. Informs what can be encountered during whole process in positive situation or when we are in trouble because
Mikhail Sergeev
Интересная обзорная книга.
Иногда казалось, что некоторые главы излагают очевидные вещи, и казались скучными. Но видимо это сильно зависит от подготовки читателя (я тоже не спец по потоковой обработки, но сталкиваться с проблемами в духе "как не потерять сообщения" мне приходилось).

Глава про алгоритмы очень понравилась. В книге есть несколько примеров вероятностных алгоритмов вроде HyperLogLog, Count Min Sketch и пр. Было очень интересно узнать о существовании таких подходов.

Покупал книгу в наде
Yuriy Bilodray
Apr 29, 2018 rated it really liked it
A very useful starter for a complete beginner. The author makes a great effort explaining complex things in a simple way. However, sometimes the material gets convoluted a bit and not transparent, like in 5-3. Summarization techniques, particularly about the reservoir sampling, bit-pattern-based algorithms. On another hand, my not readiness to invest more time into learning these topics elsewhere is the likely reason. Evidently, this is a book-overview and it is quite expected of it to serve as ...more
Jun 26, 2019 rated it really liked it
Очень очень очень поверхнотный обзор построение конвееров для процессинга данных. Есть примеры на java. Было интересно для расширения кругозора. Узнал как и где применяют Kafka, Storm и прочие продукты Apache Fondation.
Tim Verstraete
Oct 22, 2017 rated it really liked it
I really liked this book ... at first I didn't understand the goal but then it became more clear: decent syntax for use when designing streaming data applications and using the default template architecture to never miss anything + the very good example as final chapter. Nice! ...more
Zohreh Jafari
Oct 19, 2021 rated it really liked it
Who might like this book:
- Already a (data-driven) developer and curious about 'Streaming Data'
- Familiar with IT infrastructure or already have a job as member of infrastructure team
-A data Scientist
- A spark developer still not hands on Spark streaming
Nov 08, 2021 rated it it was ok
Graphics are really redundant and the book is simply not well written :(
Mike Fowler
Jan 20, 2019 rated it it was ok
Shelves: technology, data
Good overview but not much depth. Writing style attempts to be conversational but comes across as condescending.
Christophe Addinquy
Aug 20, 2017 rated it really liked it
Shelves: big-data
It's a real good surprise. This is not a "hard code" book, but instead a text focus on understanding what RT Big Data means. The text is well writen and illustrated and also (not so common here) provides reference to research papers. The author regularly repeat himself, but not up to the point to become annoying. For my part, I consider it an equivalent of the Martin Follower's "distilled" titles, which is quite something.
Ma note de lecture en Français ici
Aug 31, 2018 rated it really liked it


Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming da

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