Big Data

By:

Maheshwari, Anil

Material type: Text

TextPublication details: Chennai: McGraw Hill Education (India) Private Limited, 2020Edition: 2Description: 273ISBN:

9789353167950

Subject(s):

DDC classification:

005.74 MAH

Summary: This thoroughly revised second edition introduces application of big data to various domains --- from farming to healthcare to managing traffic and many more. The book takes a big leap with introduction of three new primer on Data Modeling and Management, Artificial Intelligence and careers in Data Science. Important topics like Big Data Programming languages are simplified and areas like MongoDB expanded. The key concepts and technological developments are explained with illustrations. This simple and easy to understand book is aimed at final year students of Computer Science, professionals and big data enthusiasts. With a series of pictures at the beginning of every chapter from nature and human interaction with it, the book tells a parallel story about life cycle and the many aspects of big data.

List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Alliance School of Liberal Arts	005.74 MAH (Browse shelf(Opens below))	Available		LA02274

Total holds: 0

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This thoroughly revised second edition introduces application of big data to various domains --- from farming to healthcare to managing traffic and many more. The book takes a big leap with introduction of three new primer on Data Modeling and Management, Artificial Intelligence and careers in Data Science. Important topics like Big Data Programming languages are simplified and areas like MongoDB expanded. The key concepts and technological developments are explained with illustrations.
This simple and easy to understand book is aimed at final year students of Computer Science, professionals and big data enthusiasts.
With a series of pictures at the beginning of every chapter from nature and human interaction with it, the book tells a parallel story about life cycle and the many aspects of big data.

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