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OLAP and Data Warehousing - Data in Jail
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Please find below the follow-up to the first part in my OLAP and Data Warehousing (The Problem and Solution) series, a series dedicated to the discussion of OLAP and Data Warehousing technologies.
A lack of world economic stabilization over the last few years has resulted in a growth of competit
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Data Warehousing for Cavemen
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This document is intended to make you buzzword-compliant with the MIS world. In terms simple enough even for an MIT computer science Ph.D. to understand, I'm going to explain OLTP, data warehousing, and OLAP. Kiss that ghetto post-doc goodbye and watch big companies line up to pay you $300/hour to r
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Data Warehousing Framework
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Making better business decisions quickly is the key to succeeding in today's competitive marketplace. Organizations seeking to improve their decision-making ability can be overwhelmed by the sheer volume and complexity of data available from their varied operational and production systems. In respon
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Introduction to Data Mining with SQL Server
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In order to fully comprehend, much less implement enhanced Decision Support Systems in an organization, it is necessary to understand the basic precepts behind the requirements, methodologies and business drive to obtain information. Information about an organization gathered from various sources an
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Data Warehouse Design Considerations - 1
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Data warehousing is one of the more powerful tools available to support a business enterprise. Learn how to design and implement a data warehouse database with Microsoft SQL Server 2000.
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Data Extraction, Transformation, and Loading Techniques
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Chapter 17, "Data Warehouse Design Considerations," discussed the use of dimensional modeling to design databases for data warehousing. In contrast to the complex, highly normalized, entity-relationship schemas of online transaction processing (OLTP) databases, data warehouse schemas are simple and
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