Big Data: Principles and best practices of scalable realtime data systems

Big Data: Principles and best practices of scalable realtime data systems Review

Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive—rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.

Big Data shows how to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy to understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to use them in practice, and how to deploy and operate them once they're built.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Title:Big Data: Principles and best practices of scalable realtime data systems
Edition Language:English

Enjoy the book review !

    Some Testimonial About This Book:

  • Szymon

    The first chapter is definitely worth reading. Maybe second one too. The rest is way too focused on specific technologies. And so it happens, the technologies happen to be created by the authors. Too ...

  • Sebastian Gebski

    Controversial book.1. Worst title ever. If it wasn't Nathan Marz (father of Storm), I'd never pick it up.2. It's not just bad title - this book is NOT about Big Data - or rather, it's about one partic...

  • Gaelan D'costa

    This book was my first exposure to an architecture for dealing with large amounts of data in a holistic way; while I'm familiar with individual concepts like MapReduce, Column Stores, CAP, etc... I've...

  • Selim Ober

    As written on several other reviews, this book tells a story of one, opinionated approach to the problems in Big Data domain. The author, also the creator of many tools in the same domain explains the...

  • Abdul Qavi

    An essential read to understand complete Big-Data ecosystems, technologies to use, and where does each technology fit. Though if you're looking for in-depth knowledge and discussion of one specific to...

  • Daniel

    The motivation and concept of the lambda architecture is great. It is also really well explained - in the first chapter. The following chapters did not add much in my eyes and should have been condens...

  • Gorjanz

    Excellent introduction to the world of Big Data, and the application architectures at play......

  • Frank Palardy

    Good overview of big data. Focuses on his own project, lambda. Not really a coding book....

  • ezequiel orbe

    Nice book that contains many important concepts. ...

  • Richard Howard

    Big disappointment...