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Big Data Analytics: Disruptive Technologies for Changing the Game [Kindle Edition]

Arvind Sathi
3.9 out of 5 stars  See all reviews (10 customer reviews)

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Book Description

Bringing a practitioner’s view to big data analytics, this work examines the drivers behind big data, postulates a set of use cases, identifies sets of solution components, and recommends various implementation approaches. This work also addresses and thoroughly answers key questions on this emerging topic, including What is big data and how is it being used? How can strategic plans for big data analytics be generated? and How does big data change analytics architecture? The author, who has more than 20 years of experience in information management architecture and delivery, has drawn the material from a large breadth of workshops and interviews with business and information technology leaders, providing readers with the latest in evolutionary, revolutionary, and hybrid methodologies of moving forward to the brave new world of big data.

Editorial Reviews

About the Author

Dr. Arvind Sathi is the worldwide communication sector lead architect for the information agenda team at IBM. He received a PhD in Business Administration from Carnegie Mellon University and is the author of Customer Experience Analytics. He lives in Englewood, Colorado.

Product Details

  • File Size: 1945 KB
  • Print Length: 96 pages
  • Publisher: Mc Press (November 1, 2012)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B00A2FOP04
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Enabled
  • Amazon Best Sellers Rank: #381,481 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

3.9 out of 5 stars
3.9 out of 5 stars
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Most Helpful Customer Reviews
24 of 25 people found the following review helpful
1.0 out of 5 stars Too short for in depth analysis March 23, 2013
Format:Paperback|Verified Purchase
In case you missed the small print below, this book is a mere 73 pages. It makes for a good short introduction to the topic. But if you are at the stage where you are considering buying a book on Big Data, you will probably want to invest in something more substantial.
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5 of 5 people found the following review helpful
3.0 out of 5 stars For high-level execs July 14, 2013
Format:Paperback|Verified Purchase
I think this is a nice book for the high-level exec who needs names, terminology, and problem-situating for Big Data Analytics. Its premise - which I think is a good one - is that the reader is going to be embedded in the already existing B2B and B2C data structures, architecture, and infrastructure already entrenched in the business/consumer world. I don't think there's much here for a data scientist, except in the sense it gives you the vernacular executives use to speak of, and frame, their discipline. But for the exec who needs to know why Big Data poses challenges and opportunities, this is a very digestible approach. It's an "airplane book" for the busy executive.
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9 of 11 people found the following review helpful
By Gdesh
Most of the current books on big data have either focused on technology (bulk) or business side. This is the first book I read which explains how the 2 aspects come together and create business value! This is a must read for anyone who is deploying or planning to deploy big data solutions in their organization!
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9 of 11 people found the following review helpful
5.0 out of 5 stars Essential for Big Data Analytics - A Practical Guide! January 31, 2013
By Nick
In my mind this book is definitely the most important and practical guide for Beginners to Big Data Analytics. It covers a very good basics and foundational aspect of Big Data while presenting a strong practical business use cases with advanced analytics concepts.

Chapters 3 introduced the big data analytics application while Chapter 4 discusses the architecture components. Chapter 5 - Advanced Analytics Platform and Chapter 6 - Implementation of Big Data Analytics are the most impressive chapters of the book as it takes several business processes that is common in many businesses

If you do not have a fairly good understanding of Big Data Analytics from concept to implementation aspects after reading this text I would be very surprised. The way the case studies are handled and the problems identified and discussed also makes it a true reference book. I think everybody involved in Big Data Analytics should have one on his/her desk.

Thanks Dr. Arvind, Excellent work!
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8 of 10 people found the following review helpful
5.0 out of 5 stars Very Grounded and Practical! March 5, 2013
By Niket
Format:Kindle Edition
There's been so much talk about Big Data and so many different perspectives. This book gets down to the bare bones of what Big Data is and how its relevant to your business? Why should you care? I found the book insightful, easy to read. If you're on the early stages of a Big Data Journey in your organization and looking for use cases, a way to establish a business case, possibly a road-map, this book is a great way to start the discussion internally with stakeholders!
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More About the Author

Dr. Arvind Sathi is the World Wide Communication Sector Architect for Big Data at IBM®. Dr. Sathi received his Ph.D. in Business Administration from Carnegie Mellon University and worked under Nobel Prize winner Dr. Herbert A. Simon. Dr. Sathi is a seasoned professional with more than 20 years of leadership in Information Management architecture and delivery. His primary focus has been in creating visions and roadmaps for Advanced Analytics at leading IBM clients in Telecommunications, Media & Entertainment, and Energy & Utilities organizations, worldwide. He has conducted a number of workshops on Big Data assessment and roadmap development.
Prior to joining IBM, Dr. Sathi was the pioneer in developing knowledge-based solutions for CRM at Carnegie Group. At BearingPoint, he led the development of Enterprise Integration, MDM, and Operations Support Systems/Business Support Systems (OSS/BSS) solutions for the communications market and also developed horizontal solutions for communications, financial services, and public services. At IBM, Dr. Sathi has led several Information Management programs in MDM, data security, business intelligence, advanced analytics, big data and related areas and has provided strategic architecture oversight to IBM's strategic accounts. He has also delivered a number of workshops and presentations at industry conferences on technical subjects including MDM and data architecture, and he holds two patents in data masking.

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