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

ISBN: 1617290343

Language: English

Category: Uncategorized


Posted on 2018-11-08, by manhneovn.

Description

http://www.hostpic.org/images/1811080150560075.jpg
English | 10 May 2015 | ISBN: 1617290343 | 328 Pages | EPUB/MOBI/PDF (True) | 23.91 MB
Big 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 built.

About the Book

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.

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.

This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful.

What's Inside

Introduction to big data systems
Real-time processing of web-scale data
Tools like Hadoop, Cassandra, and Storm
Extensions to traditional database skills

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.

Table of Contents

A new paradigm for Big Data

PART 1 BATCH LAYER

Data model for Big Data
Data model for Big Data: Illustration
Data storage on the batch layer
Data storage on the batch layer: Illustration
Batch layer
Batch layer: Illustration
An example batch layer: Architecture and algorithms
An example batch layer: Implementation

PART 2 SERVING LAYER

Serving layer
Serving layer: Illustration

PART 3 SPEED LAYER

Realtime views
Realtime views: Illustration
Queuing and stream processing
Queuing and stream processing: Illustration
Micro-batch stream processing
Micro-batch stream processing: Illustration
Lambda Architecture in depth
Download:


Sponsored High Speed Downloads
6785 dl's @ 2548 KB/s
Download Now [Full Version]
9969 dl's @ 2490 KB/s
Download Link 1 - Fast Download
7885 dl's @ 3315 KB/s
Download Mirror - Direct Download



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

Search free ebooks in ebookee.com!


Related Archive Books

Archive Books related to "Big Data: Principles and best practices of scalable realtime data systems":



Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 37660
  2. 2019-03-20Big Data Principles and best practices of scalable realtime data systems
  3. 2019-03-07Big Data Principles and best practices of scalable realtime data systems
  4. 2018-11-07Big Data Principles and Best Practices of Scalable Realtime Data Systems [Audiobook]
  5. 2017-11-12[PDF] Big Data: Principles and best practices of scalable realtime data systems
  6. 2017-10-13Big Data: Principles and best practices of scalable realtime data systems
  7. 2018-01-09[PDF] Web 2.0 Principles and Best Practices (O'Reilly Radar)
  8. 2017-12-25[PDF] FISMA Principles and Best Practices: Beyond Compliance
  9. 2017-11-27[PDF] Designing Mobile Payment Experiences: Principles and Best Practices for Mobile Commerce
  10. 2013-09-19Integrated Reservoir Asset Management - Principles and Best Practices
  11. 2013-09-18Integrated Reservoir Asset Management - Principles and Best Practices
  12. 2013-09-18Integrated Reservoir Asset Management - Principles and Best Practices
  13. 2013-09-14Integrated Reservoir Asset Management: Principles and Best Practices
  14. 2009-08-26Digital Government: Principles and Best Practices
  15. 2009-01-28Web 2.0 Principles and Best Practices
  16. 2007-07-07Digital Government: Principles and Best Practices
  17. 2007-05-27Digital Government: Principles and Best Practices
  18. 2009-05-18Cities as Sustainable Ecosystems: Principles and Practices
  19. 2021-03-03The Ultimate Guide to Cleaning Data in Excel and Google Sheets: Proven techniques and best practices for cleaning business data
  20. 2021-02-24Leading Teams Working with Data Pitfalls and Best Practices

Comments

No comments for "Big Data: Principles and best practices of scalable realtime data systems".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top