000			01759nam a22002297a 4500
999			_c2623 _d2623
005			20220801100627.0
008			220801b ||||| |||| 00| 0 eng d
020			_a9789353435110
082			_a005.5 _bMUK
100			_aMukherjee, Sourabh _97953
245			_aBig data simplified
260			_bPearson India Education Services Pvt. Ltd. _aNoida _c2019
300			_axxiv, 326 p.
365			_aINR _b590.00
504			_aTable of Content "Chapter 1 A Closer Look at Data Chapter 2 Introducing Big Data Chapter 3 Introducing Hadoop Chapter 4 Introducing MapReduce Chapter 5 Introducing NoSQL Chapter 6 Introducing Spark and Kafka Chapter 7 Other BigData Tools and Technologies Chapter 8 Working with Big Data in R Chapter 9 Working with Big Data in Python Chapter 10 Big Data Applied Chapter 11 Big Data Strategy Chapter 12 Case Study: Retail Near Real-time Analytics"
520			_a Big Data Simplified blends technology with strategy and delves into applications of big data in specialised areas, such as recommendation engines, data science and Internet of Things (IoT) and enables a practitioner to make the right technology choice. The steps to strategise a big data implementation are also discussed in detail. This book presents a holistic approach to the topic, covering a wide landscape of big data technologies like Hadoop 2.0 and package implementations, such as Cloudera. In-depth discussion of associated technologies, such as MapReduce, Hive, Pig, Oozie, ApacheZookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, GraphDB, etc., is also included "
650			_aBig Data _9212
650			_aInternet of Things _95505
700			_aDas, Amit Kumar _97011
700			_aGoswami, Sayan _97954
942			_2ddc _cBK