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Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Download PDF Big Data: Principles and Best Practices of Scalable Realtime Data Systems
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Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. Â
Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive.
This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.
What's inside:Â
About the authors: Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
Product details
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Audible Audiobook
Listening Length: 9 hours and 15 minutes
Program Type: Audiobook
Version: Unabridged
Publisher: Manning Publications
Audible.com Release Date: November 5, 2018
Language: English, English
ASIN: B07K347WYM
Amazon Best Sellers Rank:
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 data2. 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.
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.
Basically a sell of Lambda Architecture. A bit dated to use for proposed architecture since there many new design patterns now that get around some of the limitations. Nice source of 'things to consider/be aware of' though.
Good theoretical review of Big Data architecture. Not so great for implementation details using current frameworks.
Gave me a good idea of what Big Data actually is, and how it's implemented. Another tool in the chest.
nice
This book serves as a guide to building the lambda architecture from scratch, processing and serving big data. It is not a book to teach you about big data technologies though. If you are looking to learn and implement a system with batch and real time layers, this is the best book there is.
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