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Data Integration

Data integration is the collection of technical and business processes used to combine data from disparate sources into meaningful and valuable information. Data integration requires attention to enterprise architecture and its components: data architecture, application architecture, technical / infrastructure architecture; metadata management, master and reference data management, data quality management, and data governance.

Integrating Business Data
Data Integration

Integrating Business Data

Effective data integration is an important, precise, detailed, and rigorous analysis process that can offer business value to any organization Effective data integration is much

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Data Integration Challenges
Data Integration

Data Integration Challenges

Data integration can present many challenges to any organization.  Understand these situations before starting a data integration effort – success depends on it! Asking ten

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Metadata based ETL Transforms Data Integration
Data Integration

Metadata based ETL Transforms Data Integration

Metadata-based extraction, transformation, and loading (ETL) can support a new approach to any organization’s data integration and development practices Introduction Traditional extraction, transformation and loading

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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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Foundations of Data Integration
Data Integration

Foundations of Data Integration

Data Integration is an essential activity that allows an organization to combine data from disparate sources into a unified version for a variety of uses. 

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