Streaming Data : Understanding the Real-Time Pipeline
Language: English
Published by Manning Publications Jun 2017, 2017
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 62.10
Quantity: 2 available
Add to basketItem description from seller
Neuware - SummaryStreaming 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.About the TechnologyAs humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them.About the BookStreaming 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 more. This book offers the perfect balance between big-picture thinking and implementation details.What's Inside- The right way to collect real-time data- Architecting a streaming pipeline- Analyzing the data- Which technologies to use and whenAbout the ReaderWritten for developers familiar with relational database concepts. No experience with streaming or real-time applications required.About the AuthorAndrew Psaltis is a software engineer focused on massively scalable real-time analytics.Table of ContentsPART 1 - A NEW HOLISTIC APPROACH- Introducing streaming data- Getting data from clients: data ingestion- Transporting the data from collection tier: decoupling the data pipeline- Analyzing streaming data- Algorithms for data analysis- Storing the analyzed or collected data- Making the data available- Consumer device capabilities and limitations accessing the dataPART 2 - TAKING IT REAL WORLD- Analyzing Meetup RSVPs in real time.…
Seller Inventory # 9781617292286
- Title
- Streaming Data : Understanding the Real-Time Pipeline
- Author
- Andrew Psaltis
- Publisher
- Manning Publications Jun 2017
- Publication year
- 2017
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1617292281
- ISBN 13
- 9781617292286
- Item weight
- 381 grams
- Dimensions
- 233x184x17 mm
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.
ABOUT THE TECHNOLOGY
Applications built to deal with streaming data present fundamentally
different challenges than those that work with stored data. For example, live
location data paired with a social media profile might allow a vendor to
recommend a product or service to a user at just the right instant, and the
split-nanosecond reaction of a pacemaker or anti-lock brakes can save lives.
Emerging techniques and technologies that enable you to take immediate
action on streaming data make it possible to design and build in-the-moment
decision systems, dynamic reporting dashboards, live recommendation
systems, and other real-time applications.
"Synopsis" may belong to another edition of this title.
About the Author
AUTHOR BIO
Andrew Psaltis is a software engineer and architect focused full time onbuilding massively scalable real-time analytics systems using Spark, Kafka,
Storm, Hadoop, and WebSockets.
"About the title" may belong to another edition of this title.
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