Streaming Data

Understanding the Real-Time Pipeline

von Andrew Psaltis

Taschenbuch

Kurzbeschreibung des Verlags

DESCRIPTIONMany 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 thesetechnologies work individually and together, gain insight on how tochoose the correct technologies, and discover how to fuse themtogether to architect a robust system.Streaming Data introduces the concepts and requirements of streamingand real-time data systems. Readers will develop a foundation tounderstand the challenges and solutions of building in-the-momentdata systems before committing to specific technologies. Using lots ofdiagrams, this book systematically builds up the blueprint for an inthe-moment system concept by concept. This book focuses on the bigideas of streaming and real time data systems rather than theimplementation details.KEY FEATURES• Lots of diagrams to explain concepts• Collecting and analyzing data in real time• Uses running examples• Explains how to combine emerging technologiesAUDIENCENo experience with streaming or real-time data systems required. Perfect fordevelopers or architects, this book is also written to be accessible totechnical managers and business decision makers. Competancy in the Javaprogramming language is recomended.ABOUT THE TECHNOLOGYApplications built to deal with streaming data present fundamentallydifferent challenges than those that work with stored data. For example, livelocation data paired with a social media profile might allow a vendor torecommend a product or service to a user at just the right instant, and thesplit-nanosecond reaction of a pacemaker or anti-lock brakes can save lives.Emerging techniques and technologies that enable you to take immediateaction on streaming data make it possible to design and build in-the-momentdecision systems, dynamic reporting dashboards, live recommendationsystems, and other real-time applications.