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Big Data Imperatives (Record no. 28775)

000 -LEADER
fixed length control field 03509nam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310153557.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130821s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781430248736
978-1-4302-4873-6
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.76.A65
Classification number TA345-345.5
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
Edition number 23
264 #1 -
-- Berkeley, CA :
-- Apress :
-- Imprint: Apress,
-- 2013.
912 ## -
-- ZDB-2-CWD
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mohanty, Soumendra.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Big Data Imperatives
Medium [electronic resource] :
Remainder of title Enterprise Big Data Warehouse, BI Implementations and Analytics /
Statement of responsibility, etc by Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 320 p. 127 illus.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Information systems.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Computer Appl. in Administrative Data Processing.
Topical term or geographic name as entry element Information Systems and Communication Service.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jagadeesh, Madhu.
Relator term author.
Personal name Srivatsa, Harsha.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781430248729
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4302-4873-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-07AUM Main Library2014-04-07 2014-04-07 E-Book   AUM Main Library004