ETL, which stands for Extract, Transform and Load is basically the data integration process that forms a fundamental part of many different aspects as far as Data management and Business Intelligence are concerned. Organisations today are awash in data from customers, products and transactions through various systems such as customer databases or external providers. ETL tools offer a way to systemize and automate how we collect, clean, and unify this data so that humans can access it directly for the purpose of analysis.
Extraction — Data is being gathered from multiple and different sources, such as databases and spreadsheets. The transformation phase, then applies a series of rules or algorithms to the extracted data in order for it to be structurally homogenized, qualitatively valid and suitable according its intended use. Lastly, the prompt information is stacked up to a unified data repository (data warehouse) which can access and point of view from different business clients/leaders.
ETL tools play an important role in transforming raw data into actionable intelligence by eliminating valuable time and effort in the modern data world. This is the exact reason why ETL has become such an imperative tool for organisations to extract data so as to make better decisions more efficiently and gain a significant edge over their competition. Companies of all sizes and in most industries can derive significant benefits by implementing ETL tools.
These advantages of ETL tools render them indispensable in data-driven enterprises, as they facilitate hassle-free integration and infuse scalability into the organisation during its journey from an infant startup to a mature decision-making enterprise.
ETL tools are therefore, a necessity for an enterprise that believes in its data. These technologies are making it easy for small and medium enterprises to integrate and scale better with their data as they move towards becoming a mature, decision-making company.
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