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Building the data warehouse (2nd ed.) Author: W. H. Inmon, Prism Solutions John Wiley & Sons, Inc. New York, NY, USA © . Jose-Norberto Mazón, Juan Trujillo, Enriching data warehouse dimension hierarchies by using semantic. W. H. Inmon. Building Building the Data Warehouse, Fourth Edition trademarks of John Wiley & Sons, Inc. and/or its affiliates, in the United States and other. Building the Data Warehouse [W. H. Inmon] on The new edition of the classic bestseller that launched thedata warehousing industry covers Paperback: pages; Publisher: Wiley; 4 edition (October 7, ); Language: .

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Building the Data Warehouse

Different Components of External Data 8. Data Warehousing across Multiple Storage Media 5. The Cost of Storage Chapter 1 Evolution of Decision Support Systems. Tracing the Flow of Data through the Data Warehouse The new edition covers new approaches and technologies, many of which sns been pioneered by Inmon himself. Chapter 6 The Distributed Data Warehouse.

Indirect Use of Data Warehouse Data 3. Text — The Common Link Information from the Legacy Environment The Data Model and Iterative Development 3. Migration to the Architected Environment 9. Servicing the Need to Change Gracefully Matching Text across the Environments Archiving External Data 8.


Building the Data Warehouse [Book]

Day 1 to Day n Phenomenon 2. The Feedback Loop 9. Types of Distributed Data Warehouses 6.

Drawn to Proportion Parallel Storage and Management of Data 5. As with previous editions, the book also continues to provide complete coverage of all of the fundamental concepts of data warehousing, including: Inmon Limited preview – Gathering Information with a Data Warehouse Supporting the Drill-Down Process 7.

Administering the Review Differences between the Models Building the Data Warehouse. An Example of Granularity 2. The Data Warehouse and Technology. Detailed Data and EIS builving.

Corporate Information Compliance and Data Warehousing Evolution of Decision Support Systems 1. The Technologically Distributed Warehojse Warehouse 6.

The Really Large Data Warehouse.

2005 Building The Data Warehouse ( 4th Edition) ( William H. Inmon)

The Data Mining Warehouse The Exploration Warehouse The Nature of the Development Efforts 6. Patterns of Warehuse Utilization 1. A Change in Approach 1. The Really Large Data Warehouse Building the Data Warehouse 3 reviews.


A Complete Picture Auditing and the Data Warehouse 2. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more. Setting the Stage for Re-engineering 1. The Structure of the Data Warehouse 2. Other Types of Detailed Data 6. Visualizing Unstructured Data Discusses the pros and cons of relational versus multidimensional design and how to measure return on investment in planning data johh projects.

W.h.inmo Data and the Exploration Warehouse A Simple Example 7. Data Homogeneity and Heterogeneity 2. Moving Data from One Environment to Another The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which jonn been pioneered by Inmon himself. Two Basic Activities The Data Warehouse and the Data Model Indirect Access of Data Warehouse Data 3.