000			01904nam a22002057a 4500
999			_c2610 _d2610
005			20220628122514.0
008			220628b ||||| |||| 00| 0 eng d
020			_a9789353167950
082			_a006 _bMAH
100			_aMaheshwari, Anil _96956
245			_aBig data
250			_a2nd
260			_bMcGraw Hill Education (India) Pvt. Ltd. _aChennai _c2020
300			_axviii, 273 p.
365			_aINR _b615.00
504			_aTable of content Chapter 1 Wholeness of Big Data Chapter 2 Big Data Sources and Applications Chapter 3 Big Data Architecture Chapter 4 Distributed Computing Using Hadoop Chapter 5 Parallel Processing with Map Reduce Chapter 6 NoSQL Databases Chapter 7 Stream Processing with Spark Chapter 8 Data Ingest with Kafka Chapter 9 Cloud Computing Chapter 10 Big Data Programming Languages Chapter 11 Web Log Analyzer Application Development Chapter 12 Data Modelling Primer Chapter 13 Data Analytics Primer Chapter 14 Artificial Intelligence Primer Chapter 15 Data Science Careers
520			_aOverview 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.
650			_aBig data _9212
942			_2ddc _cBK