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The Importance of Data Integration
Data Integration

The Importance of Data Integration

Following some proven guidelines for data integration will ensure success in data warehousing and business intelligence, analytics and related systems initiatives. Introduction Almost every Chief

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Physical Data Modeling
Data Architecture

Physical Data Modeling

Physical data models should follow the logical data model as closely as possible, while adding the optimizing items to conform to a specific database and

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Is Text Unstructured?
Textual Data Analysis

Is Text Unstructured?

Text, the basis of language, can be considered to be unstructured by technicians. However, for others, text and language have a definite structure. It is

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Reference and Master Data Management
Master Data Management

Reference and Master Data Management

Reference and master data provide the contextual capabilities for transactional data.  Managing reference and master data enables organizations to understand operational data and analyze disparately

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Data Warehouse Standards
Data Warehousing & Business Intelligence

Data Warehouse Standards

Standards are different from guidelines.  Standards are firm and must be followed.  Successful data warehouses use standards Introduction Many dog owners give their dogs what

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Data Quality

Six Myths about Data Quality

Master data management continues to be plagued by poor data quality, costing many organizations time, money, lost customers, lost reputation and inefficiencies. Introduction In several

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