A data warehouse is a relational database that is designed for query and analysis rather than for a simple transaction processing. It usually contains historical data derived from transaction data and can include data from other sources. It separates analysis workload from transaction workload and enables an organization to consolidate data from different sources. In addition to a relational database, a data warehouse environment includes an extraction, transformation and loading solution, an online analytical processing engine, client analysis tools and other applications that manage the process of gathering data and delivering it to business users.
In simple terms, A data warehouse is a repository used to manage the business. It stores data from different sources and transforms them into a common, multidimensional data model for efficient querying and analysis. Data Warehouse Testing: Increasingly, businesses are focusing on the collection and organization of data for strategic decision making. The ability to review historical trends and monitor near real-time operational data has become a key competitive advantage. Mataa Solutions provides practical recommendations for testing extract, transform, and load (ETL) applications based on years of experience testing data warehouses in the financial services and consumer retailing areas. Our DW Testing methodology is incremental and is designed to accommodate changing data warehouse schema arising from evolving business needs. It is executed at different stages to validate data completeness, transformation logic, data quality and performance scalability. As part of DW Testing, we offer:
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