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Data Integration

Planning for Data Mapping Projects

It is essential to develop a plan for data mapping in advance of the project to ensure success in ETL, data integration, and business intelligence / analytics efforts Introduction Planning is arguably the most important stage of the entire data

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The Importance of Data Mapping for Data Integration Projects

Data mapping (source-to-target mapping) is an essential activity for all data integration, business intelligence, and analytics initiatives Introduction Data mapping is among the most important design steps in data migration, data integration, and business intelligence projects. Mapping source to target

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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 (ETL) software is a computer programming tool that enables a developer to create custom ETL

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Enterprise Architecture Defined

An enterprise architecture (EA) is a series of conceptual blueprints that defines the structure and operation of an organization to enable strategic progress. Enterprise Architecture (EA) explicitly describes an organization through a set of independent, non-redundant artifacts, defines how these

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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 Information Officer (CIO) has the goal of integrating their organization’s data.  In fact, the issue

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The Data Constraint to Successful Enterprise Integration

Data Integration is essential for successful information management and business intelligence Introduction Without data integration, enterprise integration is extremely costly and overly complex.  Many businesses are convinced that Business Intelligence the Internet, and Customer Relationship Management (CRM) are critical, strategic

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Data Rationalization and Semantic Resolution

Data rationalization through managed metadata and data modeling, can support semantic resolution, enabling improved analysis and knowledge transfer. Introduction Across the Internet and within internal systems, ontologies are used to improve search capabilities and make inferences for improved human or

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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.  Proper data integration starts at architecture, includes understanding requirements and the data, and ends with

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