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Big Data Analytics: Disruptive Technologies for Changing the Game, by Arvind Sathi
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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.
- Sales Rank: #814001 in eBooks
- Published on: 2012-11-15
- Released on: 2012-11-01
- Format: Kindle eBook
About the Author
Dr. Arvind Sathi is a Cognitive Scientist with IBM®'s CognitiveSolutions team. Dr. Sathi received his Ph.D. in Artificial Intelligencefrom 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 anddelivery. He works with IBM clients worldwide to envision and architectcognitive solutions. Prior to joining IBM, Dr. Sathi was the pioneer in developing cognitive solutions at Carnegie Group. At KPMG, he led thedevelopment of Enterprise Integration, MDM, and Operations SupportSystems/Business Support Systems (OSS/BSS) solutions for thecommunications market and also developed cross-industry analyticssolutions, which were implemented in communications services, financialservices, and public services. At IBM, Dr. Sathi has led severalanalytics programs including MDM, data security, advanced analytics, big data and related areas and has provided architecture oversight to IBM's strategic accounts. He has also delivered a number of workshops andpresentations at industry conferences on technical subjects includingIM, Big Data & Advanced Analytics, and he holds two patents in data masking. He has published three books on analytics - CustomerExperience Analytics, Big Data Analytics , and Engaging Customers UsingBig Data and releasing his fourth book titled "Cognitive (Internet of)Things" in October 2016 . He has also been a contributing author in anumber of Data Governance books written by Sunil Soares, and haspublished a article series on Advanced Analytics for IBM DeveloperWorks.
Arvind Sathi is a member of IBM's Academy of Technology.
Most helpful customer reviews
7 of 7 people found the following review helpful.
For high-level execs
By JamesDaedalus
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.
26 of 27 people found the following review helpful.
Too short for in depth analysis
By Colin E Manning
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.
3 of 3 people found the following review helpful.
OK and some good information but such an IBM infomercial
By Patrick Darmon
The book - or the leaflet, since there are very few pages - has some very interesting information dispersed at various point but at some point, reading an IBM advertising does not fit with expectations ...
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