DESCRIPTION

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 streamingand 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 inthe-

moment system concept by concept. This book focuses on the big

ideas of streaming and real time data systems rather than the

implementation details.



KEY FEATURES* Lots of diagrams to explain concepts

* Collecting and analyzing data in real time

* Uses running examples

* Explains how to combine emerging technologies

AUDIENCE

No experience with streaming or real-time data systems required. Perfect for

developers or architects, this book is also written to be accessible to

technical managers and business decision makers. Competancy in the Java

programming language is recomended.