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

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

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

SummaryBig Data teaches you to build big data 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 implement them in practice, and how to deploy and operate them once they’re buil

List Price: $ 49.99

Price:

2 comments

  1. Dimitri K says:
    3 of 3 people found the following review helpful
    5.0 out of 5 stars
    Written by a specialis, March 12, 2016
    By 

    Verified Purchase(What’s this?)
    This review is from: Big Data: Principles and best practices of scalable realtime data systems (Paperback)
    This book is written by a specialist in big data. I know that because I worked on the big data pipeline. And now I read the book and I see that all my problems are addressed in this book. Virtually every problem discussed appeared in my pipeline too, as if the author worked with me on my project.

    The other very useful for me feature of this book is that it is the first book where I could find a concise explanation of Storm Trident framework, even though the book is not about Storm.

    Help other customers find the most helpful reviews 

    Was this review helpful to you? Yes
    No

  2. Zambonilli says:
    5.0 out of 5 stars
    If you are looking for a survey of different approaches …, April 10, 2016
    By 

    Verified Purchase(What’s this?)
    This review is from: Big Data: Principles and best practices of scalable realtime data systems (Paperback)
    If you are looking for a survey of different approaches of handling big data, you want to read “ELEMENTS OF SCALE: COMPOSING AND SCALING DATA PLATFORMS”. ([…]) This book is dedicated to Lambda Architecture (one that is surveyed in the above article.)

    The book is very organized. Introduction in chapter 1 will be the road map of the whole book. Motivating with a simple web application based on RDBMS, the author showed how the approach to scale it becomes undesirable. After enumerating a list of desired properties, he proposed Lambda architecture, an approach in contrast to fully incremental architecture (with RDBMS).

    The Lambda architecture is partitioned into three layers:
    1. batch layer that computes different views on big data
    2. serving layer that answers user queries using views from the batch layer and speed layer.
    3. speed layer that compensates an approximate answer over a period time when the batch layer is working on the complete answers.

    In the remaining chapters, the author dive deep into the rationale and requirements of all the different pieces of Lambda Architecture.

    To under the context of Lambda Architecture, also refer to the wikipedia for crticism.

    Help other customers find the most helpful reviews 

    Was this review helpful to you? Yes
    No