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Big Data Application Architecture Q&A

A Problem - Solution Approach

  • Book
  • © 2013

Overview

Authors:
  1. Nitin Sawant
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    You can also search for this author in PubMed   Google Scholar

  2. Himanshu Shah
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    You can also search for this author in PubMed   Google Scholar

  • Use cases for big data specific to architectures like Walmart and Ebay.
  • Covers the end-to-end application architecture required to realize the big data solution covering the analytics and visualization aspects in addition to hadoop and not just focus on providing design patterns in the map-reduce or hadoop area only.
  • The book can be used as reference to search the closest big data pattern and quickly use it to start building the application which corresponds to your problem statement.
  • Complete list of application architectures used by peers for specific industries.

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Big Data Introduction

    • Nitin Sawant, Himanshu Shah
    Pages 1-8

  3. Big Data Application Architecture

    • Nitin Sawant, Himanshu Shah
    Pages 9-28

  4. Big Data Ingestion and Streaming Patterns

    • Nitin Sawant, Himanshu Shah
    Pages 29-42

  5. Big Data Storage Patterns

    • Nitin Sawant, Himanshu Shah
    Pages 43-56

  6. Big Data Access Patterns

    • Nitin Sawant, Himanshu Shah
    Pages 57-68

  7. Data Discovery and Analysis Patterns

    • Nitin Sawant, Himanshu Shah
    Pages 69-78

  8. Big Data Visualization Patterns

    • Nitin Sawant, Himanshu Shah
    Pages 79-90

  9. Big Data Deployment Patterns

    • Nitin Sawant, Himanshu Shah
    Pages 91-100

  10. Big Data NFRs

    • Nitin Sawant, Himanshu Shah
    Pages 101-112

  11. Big Data Case Studies

    • Nitin Sawant, Himanshu Shah
    Pages 113-126

  12. Resources, References, and Tools

    • Nitin Sawant, Himanshu Shah
    Pages 127-136

  13. References and Bibliography

    • Nitin Sawant, Himanshu Shah
    Pages 137-138

  14. Back Matter

    Pages 139-143
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About this book

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits.

Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'.

The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application.

The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.

About the authors

As Managing Director, Technology, Nitin Sawant is the practicelead for technology architecture, BPM, SOA, and cloud at Accenture India. He isan Accenture certified master technology architect (CMTA), leading variousinitiatives in the emerging technologies of cloud and big data. Nitin has over17 years of technology experience in developing, designing, and architectingcomplex enterprise scale systems based on Java, JEE, SOA, and BPM technologies.He received his master s degree in technology in software engineering from theInstitute of System Science, National University of Singapore. He graduatedwith a bachelor s degree in electronics engineering from Bombay University. Heis a certified CISSP, CEH, and IBM-certified SOA solutions architect. Nitin hasfiled three patents in the SOA BPM space and is currently pursuing his PhD inBPM security from BITS Pilani, India.

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