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020			_a9788126579518
040			_cIISER-BPR
041			_aENG
082			_a006.312 _bACH _223rd
100			_aAcharya, Seema
222			_aComputer and Data Sciences
245		0	_aBig data and analytics
250			_a2nd ed.
260			_aNew Delhi: _bWiley India Pvt. Ltd., _cc2019.
300			_axx, 364p. : _bill, pbk. ; _c24cm
520			_aBig data is a term used for massive mounds of structured, semi-structured and unstructured data that has the potential to be mined for information. The real power lies not just in having colossal data but in what insights can be drawn from this data to facilitate better and faster decisions. This book big data and analytics is a comprehensive coverage on the concepts and practice of big data, Hadoop and analytics. From the do it Yourself steps and guidelines to set up a Hadoop cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this one book has it all! Salient Features of the book:- -The book is an exhaustive introduction to Big Data Technology Landscape. -The concepts are presented in simple language for easy comprehension by beginners. -The concepts are explained with the help of illustrations and real-life industrial strength application examples. -This book is accompanied with STEP-BY-STEP Hands-on chapters on:- *NoSQL databases such as MongoDB and Cassandra. *MapReduce Programming. *Pig-the data flow language. *Hive-data warehouse built on top of hadoop. *Jasper Soft Studio to design report by pulling the data from MongoDB and Cassandra. -For easy lookup and rememberance, the book carries comparison of various Hadoop components such as HDFS vs HBase, MapReduce vs Pig, Pig vs Spark etc. -For better learning, comprehension and retention, the book is supported by the following:- *Various types of self-assessment such as "Fill in the Blanks", "Crossword", "Match the Columns", "Hands on Assessment", etc. The solutions to these are also provided. *References/web links/bibliography at the end of every chapter. -Glossary of terms frequently used in the big data and analytics and subject index at the end of the book.
650			_aSpecial Computer Methods
650			_aData Mining
650			_aBig Data
650			_aAnalytics
700			_aChellappan, Subhashini
942			_cBK _2ddc
942			_2ddc
947			_a689
948			_a0.22
999			_c4124 _d4124