Big data simplified (Record no. 2623)

MARC details
000 -LEADER
fixed length control field 01759nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801100627.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220801b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789353435110
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.5
Item number MUK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mukherjee, Sourabh
245 ## - TITLE STATEMENT
Title Big data simplified
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Pearson India Education Services Pvt. Ltd.
Place of publication, distribution, etc. Noida
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 326 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 590.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Content<br/>"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 ## - SUMMARY, ETC.
Summary, etc. <br/>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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big Data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Internet of Things
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Das, Amit Kumar
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Goswami, Sayan
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Accession Number Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB1037 23-07-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 08/01/2022 Technical Bureau India Pvt. Ltd. 413.00 2 1 005.5 MUK 002921 03/01/2024 02/03/2024 1 590.00 08/01/2022 Book

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