Data warehousing in the age of big data

"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 discus...

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Bibliographic Details
Main Author: Krishnan, Krish.
Corporate Author: Elsevier (firma)
Format: eBook
Language: English
Published: Amsterdam : Morgan Kaufmann is an imprint of Elsevier, 2013.
Subjects:
skladování dat
zpracování dat
data warehousing
data processing
elektronické knihy
electronic books
ISBN: 9780124059207
9781299591912
9780124058910
Physical Description: 1 online zdroj.

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Table of contents

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020 |a 9780124059207  |q (ebook) 
020 |a 9781299591912  |q (ebook) 
020 |z 9780124058910 
035 |a (OCoLC)843860813  |z (OCoLC)843337186 
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072 7 |a 004.4/.6  |x Programování. Software  |2 Konspekt  |9 23 
080 |a (0.034.2:08)  |2 MRF 
100 1 |a Krishnan, Krish. 
245 1 0 |a Data warehousing in the age of big data  |h [elektronický zdroj] /  |c Krish Krishnan. 
264 1 |a Amsterdam :  |b Morgan Kaufmann is an imprint of Elsevier,  |c 2013. 
300 |a 1 online zdroj. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a "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"--  |c Provided by publisher. 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
533 |a Elektronická verze Elsevier 
650 0 7 |a skladování dat  |7 ph139310  |2 czenas 
650 0 7 |a zpracování dat  |7 ph127675  |2 czenas 
650 0 9 |a data warehousing  |2 eczenas 
650 0 9 |a data processing  |2 eczenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |z 9780124058910  |z 0124058914  |w (DLC) 2013004151 
710 2 |a Elsevier (firma)  |7 kn20090615020 
856 4 0 |u https://proxy.k.utb.cz/login?url=http://www.sciencedirect.com/science/book/9780124058910  |y Plný text 
992 |a BK  |c EBOOK-TN  |c ELSEVIER 
999 |c 76153  |d 76153 
993 |x NEPOSILAT  |y EIZ 

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