Data warehousing in the age of big data (Record no. 158405)

MARC details
000 -LEADER
fixed length control field 03729nam a2200361 a 4500
001 - CONTROL NUMBER
control field 0000169262
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20171002063518.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o u
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130412s2013 ne a sb 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 2013004151
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780124058910 (pbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780124059207 (e-book)
035 ## - SYSTEM CONTROL NUMBER
System control number (CaPaEBR)ebr10698608
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)843860813
040 ## - CATALOGING SOURCE
Original cataloging agency CaPaEBR
Transcribing agency CaPaEBR
050 14 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D37
Item number K75 2013eb
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74/5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Krishnan, Krish.
245 10 - TITLE STATEMENT
Title Data warehousing in the age of big data
Medium [electronic resource] /
Statement of responsibility, etc. Krish Krishnan.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Amsterdam :
Name of publisher, distributor, etc. Morgan Kaufmann,
Date of publication, distribution, etc. 2013.
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 346 p. :
Other physical details col. ill.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Part 1 - Big Data Chapter 1 - Introduction to Big Data Chapter 2 - Complexity of Big Data Chapter 3 - Big Data Processing Architectures Chapter 4 - Big Data Technologies Chapter 5 - Big Data Business Value Part 2 - The Data Warehouse Chapter 6 - Data Warehouse Chapter 7 - Re-Engineering the Data Warehouse Chapter 8 -Workload Management in the Data Warehouse Chapter 9 - New Technology Approaches Part 3 - Extending Big Data into the Data Warehouse Chapter 10 - Integration of Big Data and Data Warehouse Chapter 11 - Data Driven Architecture Chapter 12 - Information Management and Lifecycle Chapter 13 - Big Data Analytics, Visualization and Data Scientist Chapter 14 - Implementing The "Big Data" Data Warehouse Appendix A - Customer Case Studies From Vendors Appendix B - Building The HealthCare Information Factory.
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.
533 ## - REPRODUCTION NOTE
Type of reproduction Electronic reproduction.
Place of reproduction Palo Alto, Calif. :
Agency responsible for reproduction ebrary,
Date of reproduction 2013.
Note about reproduction Available via World Wide Web.
-- Access may be limited to ebrary affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data warehousing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element ebrary, Inc.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://site.ebrary.com/lib/daystar/Doc?id=10698608">http://site.ebrary.com/lib/daystar/Doc?id=10698608</a>
Public note An electronic book accessible through the World Wide Web; click to view
908 ## - PUT COMMAND PARAMETER (RLIN)
Put command parameter 170314
942 00 - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Electronic Book

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