Data warehousing in the age of big data / (Record no. 679235)

MARC details
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001 - CONTROL NUMBER
control field ocn843860813
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240829143642.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130520s2013 ne ob 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 2013004151
040 ## - CATALOGING SOURCE
Original cataloging agency YDXCP
Language of cataloging eng
Description conventions pn
Transcribing agency YDXCP
Modifying agency OCLCO
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0124059201
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780124059207
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1299591914
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781299591912
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780124058910
Qualifying information (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0124058914
Qualifying information (pbk.)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code C20120027378
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code 9780124058910
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code (WaSeSS)ssj0000872952
035 ## - SYSTEM CONTROL NUMBER
System control number 486547
-- (N$T)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)843860813
Canceled/invalid control number (OCoLC)843337186
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-- (OCoLC)1129363260
-- (OCoLC)1153047250
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-- (OCoLC)1340107254
037 ## - SOURCE OF ACQUISITION
Stock number 490441
Source of stock number/acquisition MIL
037 ## - SOURCE OF ACQUISITION
Stock number 933188FB-27F2-4793-A537-B72686CEC28D
Source of stock number/acquisition OverDrive, Inc.
Note http://www.overdrive.com
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D37
Item number K75 2013eb
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 021040
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74/5
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Krishnan, Krish.
9 (RLIN) 176888
245 10 - TITLE STATEMENT
Title Data warehousing in the age of big data /
Statement of responsibility, etc. Krish Krishnan.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Amsterdam :
Name of producer, publisher, distributor, manufacturer Morgan Kaufmann is an imprint of Elsevier,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
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
347 ## - DIGITAL FILE CHARACTERISTICS
File type data file
Source rda
490 1# - SERIES STATEMENT
Series statement The Morgan Kaufmann Series on Business Intelligence
520 ## - SUMMARY, ETC.
Summary, etc. "In conclusion as you come to the end of this book, the concept of a Data Warehouse and its primary goal of serving the enterprise version of truth, and being the single platform for all the source of information will continue to remain intact and valid for many years to come. As we have discussed across many chapters and in many case studies, the limitations that existed with the infrastructures to create, manage and deploy Data Warehouses have been largely eliminated with the availability of Big Data technologies and infrastructure platforms, making the goal of the single version of truth a feasible reality. Integrating and extending Big Data into the Data Warehouse, and creating a larger decision support platform will benefit businesses for years to come. This book has touched upon governance and information lifecycle management aspects of Big Data in the larger program, however you can reuse all the current program management techniques that you follow for the Data Warehouse for this program and even implement agile approaches to integrating and managing data in the Data Warehouse. Technologies will continue to evolve in this spectrum and there will be more additions of solutions, which can be integrated if you follow the modular integration approaches to building and managing the Data Warehouse. The Appendix sections contain many more case studies and a special section on Healthcare Information Factory based on Big Data approaches. These are more guiding posts to help you align your thoughts and goals to building and integrating Big Data in your Data Warehouse"--
Assigning source Provided by publisher.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Front Cover -- Data Warehousing in the Age of Big Data -- Copyright Page -- Contents -- Acknowledgments -- About the Author -- Introduction -- Part 1: Big Data -- Part 2: The Data Warehousing -- Part 3: Building the Big Data -- Data Warehouse -- Appendixes -- Companion website -- 1 BIG DATA -- 1 Introduction to Big Data -- Introduction -- Big Data -- Defining Big Data -- Why Big Data and why now? -- Big Data example -- Social Media posts -- Survey data analysis -- Survey data -- Weather data -- Twitter data -- Integration and analysis -- Additional data types -- Summary -- Further reading.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2 Working with Big Data -- Introduction -- Data explosion -- Data volume -- Machine data -- Application log -- Clickstream logs -- External or third-party data -- Emails -- Contracts -- Geographic information systems and geo-spatial data -- Example: Funshots, Inc. -- Data velocity -- Amazon, Facebook, Yahoo, and Google -- Sensor data -- Mobile networks -- Social media -- Data variety -- Summary -- 3 Big Data Processing Architectures -- Introduction -- Data processing revisited -- Data processing techniques -- Data processing infrastructure challenges -- Storage -- Transportation -- Processing.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Journal -- Checkpoint -- HDFS startup -- Block allocation and storage in HDFS -- HDFS client -- Replication and recovery -- Communication and management -- Heartbeats -- CheckpointNode and BackupNode -- CheckpointNode -- BackupNode -- File system snapshots -- JobTracker and TaskTracker -- MapReduce -- MapReduce programming model -- MapReduce program design -- MapReduce implementation architecture -- MapReduce job processing and management -- MapReduce limitations (Version 1, Hadoop MapReduce) -- MapReduce v2 (YARN) -- YARN scalability -- Comparison between MapReduce v1 and v2 -- SQL/MapReduce.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Speed or throughput -- Shared-everything and shared-nothing architectures -- Shared-everything architecture -- Shared-nothing architecture -- OLTP versus data warehousing -- Big Data processing -- Infrastructure explained -- Data processing explained -- Telco Big Data study -- Infrastructure -- Data processing -- 4 Introducing Big Data Technologies -- Introduction -- Distributed data processing -- Big Data processing requirements -- Technologies for Big Data processing -- Google file system -- Hadoop -- Hadoop core components -- HDFS -- HDFS architecture -- NameNode -- DataNodes -- Image.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Zookeeper -- Zookeeper features -- Locks and processing -- Failure and recovery -- Pig -- Programming with pig latin -- Pig data types -- Running pig programs -- Pig program flow -- Common pig command -- HBase -- HBase architecture -- HBase components -- Write-ahead log -- Hive -- Hive architecture -- Infrastructure -- Execution: how does hive process queries? -- Hive data types -- Hive query language (HiveQL) -- Chukwa -- Flume -- Oozie -- HCatalog -- Sqoop -- Sqoop1 -- Sqoop2 -- Hadoop summary -- NoSQL -- CAP theorem -- Key-value pair: Voldemort -- Column family store: Cassandra -- Data model.
542 ## - INFORMATION RELATING TO COPYRIGHT STATUS
Copyright statement Copyright: Elsevier Science & Technology
Copyright date 2013
546 ## - LANGUAGE NOTE
Language note English.
590 ## - LOCAL NOTE (RLIN)
Local note Added to collection customer.56279.3
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data warehousing.
9 (RLIN) 5651
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
9 (RLIN) 3758
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Entrepôts de données (Informatique)
9 (RLIN) 110480
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Données volumineuses.
9 (RLIN) 967689
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS
General subdivision Database Management
-- Data Warehousing.
Source of heading or term bisacsh
9 (RLIN) 129549
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
Source of heading or term fast
9 (RLIN) 3758
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data warehousing
Source of heading or term fast
9 (RLIN) 5651
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big Data
Source of heading or term gnd
9 (RLIN) 3758
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data-Warehouse-Konzept
Source of heading or term gnd
9 (RLIN) 27008
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780124058910
-- 0124058914
Record control number (DLC) 2013004151
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Morgan Kaufmann Series on Business Intelligence.
9 (RLIN) 177106
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified EBSCOhost
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=486547">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=486547</a>
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Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Not Lost     EBSCO Computers e-Library   29/08/2024   29/08/2024 29/08/2024 eBook

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