Overview of Common Data Sources |
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.
Some database vendors (Oracle 10g) provide tables of just changed records. These tables can be registered in SAS Data Integration Studio and used in jobs to capture changes.
SAS Data Integration Studio allows the user to determine changes and take appropriate action.
SAS has partnered with Attunity, a company that specializes in CDC. Their Attunity Stream software provides agents that non-intrusively monitor and capture changes to mainframe and enterprise data sources such as VSAM, IMS, Adabas, DB2, and Oracle. SAS Data Integration Studio provides a dedicated transformation for Attunity.
The Attunity-based solution does the following:
moves only CHANGES to the data
requires no window of operation
provides higher frequency and reduced latency transfers. It is possible for multiple updates each day, providing near-real-time continuous change flow.
reduces the performance impact of the following activities:
rebuilding of target table indexes
recovering from a process failure that happens mid-stream
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