000			01944nam a22002057a 4500
020			_a9789353435110
041			_aENG
082			_a005.7 _bMUK
100			_aMukherjee, Sourabh
245			_aBig data simplified / _c Sourabh Mukherjee, Amit Kumar Das and Sayan Goswami
260			_aNew Delhi : _bPearson , _c2019 .
300			_axxx, 329 Pg.; _bill : _c25 cm.
500			_aBig Data Simplified blends technology with strategy and delves into applications of Big Data in specialized 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 strategize 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, Apache Zookeeper, Flume, Kafka, Spark, Python and NoSQL databases like Cassandra, MongoDB, graphs, etc., is also included. Features: 1. Important concepts are backed by code snippets enabling step-by-step practical implementation. 2. Includes case study with complete code and detailing the concepts. 3. Numerous objective and subjective-type questions added for readers to evaluate their learning
504			_ainclude index
505			_a1) 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 Big Data 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
650			_abig data
700			_aAmit Kumar, Das
700			_aGoswami, Sayan
942			_2ddc _cBK
999			_c23820 _d23820