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Big Data Analytics

Disruptive Technologies for Changing the Game

Hodnocení knihy

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  • 96 stránek
  • 4 hodiny čtení

Více o knize

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.

Nákup knihy

Big Data Analytics, Arvind Sathi

Jazyk
Rok vydání
2012
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Doručení

Platební metody

3,7
Velmi dobrá
6 Hodnocení

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Titul
Big Data Analytics
Podtitul
Disruptive Technologies for Changing the Game
Jazyk
anglicky
Vydavatel
MC Press
Rok vydání
2012
Vazba
měkká
Počet stran
96
ISBN10
1583473807
ISBN13
9781583473801
Série
Hodnocení
3,65 z 5
Anotace
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.