Data warehousing in the age of big data

This book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

Saved in:
Bibliographic Details
Main Author: Krishnan, Krish
Format: Book
Language:English
Published: Waltham, MA Morgan Kaufmann is an imprint of Elsevier 2013
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000 i 4500
001 100802
003 MY-KLNDU
005 20241220025558.0
008 221104 2013 maua bi 000 0 eng d
020 |a 9780124058910 
039 9 |a 202211041126  |b VLOAD  |c 201411271052  |d azraai  |y 201410132031  |z syarifuddin 
040 |a UPNM  |b eng  |c UPNM  |e rda 
090 |a QA 76.9.D37  |b K75 2013 
100 1 |a Krishnan, Krish 
245 1 0 |a Data warehousing in the age of big data  |c Krish Krishnan 
264 1 |a Waltham, MA  |b Morgan Kaufmann is an imprint of Elsevier  |c 2013 
300 |a xxiii, 346 pages  |b illustrations  |c 24 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
505 |a Part 1 : Big Data -- Introduction to Big Data -- Complexity of Big Data -- Big Data Processing Architectures -- Big Data Technologies -- Big Data Business Value -- Part 2 : The Data Warehouse -- Data Warehouse -- Re-Engineering the Data Warehouse -- Workload Management in the Data Warehouse -- New Technology Approaches -- Part 3 : Extending Big Data into the Data Warehouse -- Integration of Big Data and Data Warehouse -- Data Driven Architecture -- Information Management and Lifecycle -- Big Data Analytics, Visualization and Data Scientist -- Implementing The "Big Data" Data Warehouse -- Appendix A : Customer Case Studies From Vendors -- Appendix B : Building The HealthCare Information Factory 
520 |a This book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. 
592 |a 00013809  |b 19/11/14  |c RM183.80  |h PVK 
650 0 |a Big data 
650 0 |a Data warehousing 
999 |a vtls000052947  |c 100802  |d 100802