NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Data analytics and big data / (Record no. 12528)

MARC details
000 -LEADER
fixed length control field 07696cam a2200937 i 4500
001 - CONTROL NUMBER
control field on1037945978
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240523125541.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu|||unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180529t20182018enk ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency N$T
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency N$T
Modifying agency N$T
-- DG1
-- OCLCF
-- CNCGM
-- UAB
-- RECBK
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-- OCLCQ
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019 ## -
-- 1038058137
-- 1038481574
-- 1038614293
-- 1039614457
-- 1065273797
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119528043
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119528046
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119528067
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119528062
Qualifying information (electronic book)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119528050
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119528054
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781786303264
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1786303264
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119528043
Source of number or code doi
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000063618500
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000067301552
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier AU@
System control number 000067383793
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier CHNEW
System control number 001003319
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC)
OCLC library identifier CHVBK
System control number 516430963
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1037945978
Canceled/invalid control number (OCoLC)1038058137
-- (OCoLC)1038481574
-- (OCoLC)1038614293
-- (OCoLC)1039614457
-- (OCoLC)1065273797
037 ## - SOURCE OF ACQUISITION
Stock number 9820813
Source of stock number/acquisition IEEE
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.B45
Item number S43 2018
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 018000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 021000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sedkaoui, Soraya,
Relator term author.
245 10 - TITLE STATEMENT
Title Data analytics and big data /
Statement of responsibility, etc. Soraya Sedkaoui.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture London, UK :
Name of producer, publisher, distributor, manufacturer ISTE, Ltd. ;
Place of production, publication, distribution, manufacture Hoboken :
Name of producer, publisher, distributor, manufacturer John Wiley & Sons, Inc.,
Date of production, publication, distribution, manufacture, or copyright notice 2018.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice �2018
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Information systems, web and pervasive computing series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from digital title page (viewed on September 18, 2018).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part 1. Towards an understanding of big data: Are you ready? -- From data to big data: you must walk before you can run -- Big data: a revolution that changes the game -- Part 2. Big data analytics: a compilation of advanced analytics techniques that covers a wide range of data -- Building an understanding of big data analytics -- Why data analytics and when can we use it? -- Data analytics process: there's great work behind the scenes -- Part 3. Data analytics and machine learning: the relevance of algorithms -- Machine learning: a method of data analysis that automates analytical model building -- Supervised versus unsupervised algorithms: a guided tour -- Applications and examples.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover; Half-Title Page; Dedication; Title Page; Copyright Page; Contents; Acknowledgments; Preface; Introduction; Why this book?; Whom is this book for?; Organization of the book; Glossary; PART 1 Towards an Understanding of Big Data:Are You Ready?; 1. From Data to Big Data: You Must Walk Before You Can Run; 1.1. Introduction; 1.2. No analytics without data; 1.2.1. Databases; 1.2.2. Raw data; 1.2.3. Text; 1.2.4. Images, audios and videos; 1.2.5. The Internet of Things; 1.3. From bytes to yottabytes: the data revolution; 1.4. Big data: definition; 1.5. The 3Vs model.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1.6. Why now and what does it bring?1.7. Conclusions; 2. Big Data: A Revolution that Changes the Game; 2.1. Introduction; 2.2. Beyond the 3Vs; 2.3. From understanding data to knowledge; 2.4. Improving decision-making; 2.5. Things to take into account; 2.5.1. Data complexity; 2.5.2. Data quality: look out! Not all data are the right data; 2.5.3. What else? ... Data security; 2.6. Big data and businesses; 2.6.1. Opportunities; 2.6.2. Challenges; 2.7. Conclusions; PART 2 Big Data Analytics: A Compilation of Advanced Analytics Techniques that Covers a Wide Range of Data.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Building an Understanding of Big Data Analytics3.1. Introduction; 3.2. Before breaking down the process ... What is data analytics?; 3.3. Before and after big data analytics; 3.4. Traditional versus advanced analytics: What is the difference?; 3.5. Advanced analytics: new paradigm; 3.6. New statistical and computational paradigm within the big data context; 3.7. Conclusions; 4. Why Data Analytics and When Can We Use It?; 4.1. Introduction; 4.2. Understanding the changes in context; 4.3. When real time makes the difference; 4.4. What should data analytics address?
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4.5. Analytics culture within companies4.6. Big data analytics application: examples; 4.7. Conclusions; 5. Data Analytics Process: There's Great Work Behind the Scenes; 5.1. Introduction; 5.2. More data, more questions for better answers; 5.2.1. We can never say it enough: "there is no good wind for those who don't know where they are going"; 5.2.2. Understanding the basics: identify what we already know and what we have yet to find out; 5.2.3. Defining the tasks to be accomplished; 5.2.4. Which technology to adopt?
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5.2.5. Understanding data analytics is good but knowing how to use it is better! (What skills do you need?)5.2.6. What does the data project cost and how will it pay off in time?; 5.2.7. What will it mean to you once you find out?; 5.3. Next steps: do you have an idea about a "secret sauce"?; 5.3.1. First phase: find the data (data collection); 5.3.2. Second phase: construct the data (data preparation); 5.3.3. Third phase: go to exploration and modeling (data analysis); 5.3.4. Fourth phase: evaluate and interpret the results (evaluation and interpretation).
590 ## - LOCAL NOTE (RLIN)
Local note John Wiley and Sons
Provenance (VM) [OBSOLETE] Wiley Online Library: Complete oBooks
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Databases.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining.
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Donn�ees volumineuses.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bases de donn�ees
General subdivision Gestion.
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Exploration de donn�ees (Informatique)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS
General subdivision Data Processing.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS
General subdivision Database Management
-- General.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data mining
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Database management
Source of heading or term fast
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Databases
Source of heading or term fast
758 ## - RESOURCE IDENTIFIER
Relationship information has work:
Label Data analytics and big data (Text)
Real World Object URI https://id.oclc.org/worldcat/entity/E39PCGWR4D7gRwgvr9YtVphkcP
Relationship https://id.oclc.org/worldcat/ontology/hasWork
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Sedkaoui, Soraya.
Title Data analytics and big data.
Place, publisher, and date of publication Hoboken, New Jersey : ISTE Ltd/John Wiley and Sons Inc., 2018
Physical description 225 pages
International Standard Book Number 9781786303264
Record control number (DLC) 2018936255
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Information systems, web and pervasive computing series.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119528043">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119528043</a>
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