Chapter 1. Types of Data Integration
The first part of this text provides an overview of data integration. We know from our definition that data integration is a set of processes used to extract or capture, restructure, move, and load or publish data, in either operational or analytic data stores, in either real time or in batch mode. Because of the operational and analytic nature of integrating data, the frequency and throughput of the data have developed into different types of data integration architectural patterns and technologies. Therefore, this section begins with an investigation of the architectural types or “patterns” of data integration.
We also know that regardless of the type of architecture or supporting technology, there is a ...
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