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Overview of Common Data Sources

Change Data Capture

Data extraction is an integral part of all data warehousing projects. Data is often extracted on a nightly or regularly scheduled basis from transactional systems in bulk and transported to the data warehouse. Typically, all the data in the data warehouse is refreshed with data extracted from the source system. However, an entire refresh involves the extraction and transportation of huge volumes of data and is very expensive in both resources and time. With data volumes now doubling yearly in some organizations a new mechanism known as change data capture (CDC) is increasingly becoming the only viable solution for delivering timely information into the warehouse to make it available to the decision makers. CDC is the process of capturing changes made at the data source and applying them throughout the enterprise. CDC minimizes the resources required for ETL processes because it deals only with data changes. The goal of CDC is to ensure data synchronicity. SAS offers a number of CDC options.

The Attunity-based solution does the following:

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