Saturday, December 7, 2013

Data Warehousing in the Age of Big Data

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Data Warehousing in the Age of Big Data Title: Data Warehousing in the Age of Big Data
Author: Krish Krishnan
Publisher: 2013-06-04
Format: Online PDF (370 pages, 10.8MB)
Language: English
ISBN-10: 0124058914
ISBN-13: 9780124058910

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Data warehouse in the age of big data, can help you and your organization make the most of the unstructured data with existing data repositories. Like Big data continues to revolutionize the way we use data, it does not have to create more confusion. Expert author Krish Krishnan helps you make sense of how big the data match the data store's clear and concise details. The book is presented in three separate sections. Part 1 talking about Big data, technology and use cases from the early adopters. Part 2 addresses the data warehouses, its shortcomings, and the new architecture, the workload, and the integrated technique for Big databases and data warehouses. Part 3 deals with the data management, data visualization, information lifecycle management, data scientists, and making a large data warehouse data is ready.

Table of Contents

PART 1 BIG DATA 1
1 Introduction to Big Data 3
2 Working with Big Data 15
3 Big Data Processing Architectures 29
4 Introducing Big Data Technologies 45
5 Big Data Driving Business Value 101

PART 2 THE DATA WAREHOUSING 125
6 Data Warehousing Revisited 127
7 Reengineering the Data Warehouse 147
8 Workload Management in the Data Warehouse 163
9 New Technologies Applied to Data Warehousing 179

PART 3 BUILDING THE BIG DATA – DATA WAREHOUSE 197
10 Integration of Big Data and Data Warehousing 199
11 Data-Driven Architecture for Big Data 219
12 Information Management and Life Cycle for Big Data 241
13 Big Data Analytics, Visualization, and Data Scientists 251
14 Implementing the Big Data – Data Warehouse – Real-Life Situations 257

Appendix A: Customer Case Studies 267
Appendix B: Building the Healthcare Information Factory 289

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