Data Warehouse is open to an almost limitless range of definitions. Simply put, data warehouses store and aggregation of a company's data. Data warehouses are an important asset for organisations to maintain efficiency, profitability and competitive advantages, organisations collect data through many sources- online, call centre, sales needs, inventory management. The data collected have degrees values and business relevance. Figure shown below shows the architecture of a typical data warehouse and illustrate the gathering of data, the storage of data, and the quaring and data analysis support. Different steps involved in getting data into a warehouse are called as extract, transform and lode or ELT tasks; extraction refers to getting data from the sources, while loaders reference to loading the data into data warehouse. Characteristics of data warehouse: Multidimensional conceptual view Generic dimensionality Unlimited dimensions and aggregation le...
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