Published May 11, 2015 by

ETL testing Fundamentals

Comprehensive testing of a data warehouse at every point throughout the ETL (extract, transform, and load) process is becoming increasingly important as more data is being collected and used for strategic decision-making. Data warehouse or ETL testing is often initiated as a result of mergers and acquisitions, compliance and regulations, data consolidation, and the increased reliance on data-driven decision making (use of Business Intelligence tools, etc.). ETL testing is commonly implemented either manually or with the help of a tool (functional testing tool, ETL tool, proprietary utilities). Let us understand some of the basic ETL concepts.

BI / Data Warehousing testing projects can be conjectured to be divided into ETL (Extract – Transform – Load) testing and henceforth the report testing.

Extract Transform Load is the process to enable businesses to consolidate their data while moving it from place to place (i.e.) moving data from source systems into the data warehouse. The data can arrive from any source:

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