![]() This involves changing the data to a new format dependent on the database it's going into. The transform function involves converting data that's already been extracted into an appropriate format for storage and analysis. Related: 8 ETL developer responsibilities (with how-to guide) Transform Some tools extract the data into a flat file, while others extract it directly from an API. The way that the process extracts the data often depends on technical restrictions. ![]() Different ETL systems extract data in different ways. The extract part of the process involves reading data in a database, collecting it and extracting it. The process plays a fundamental role in producing insights for businesses and implementing wider data management strategies within an organisation. It's now a critical tool for ensuring that reporting, analytics and machine learning is stable and usable in data businesses. ETL makes it possible to migrate data between different sources, destinations and analytical tools. ETL processes gather data from a variety of sources before consolidating it in a data warehouse. ETL is a data management process that stands for extract, transform and load. ![]() If you're interested in optimising business operations, you may have asked the question, 'What is ETL?'. In this article, we answer the question 'What is ETL?', including why it's important, how it works and its uses for businesses. ETL is one data management process that allows businesses to collect data from multiple sources and consolidate it in one location. Managing such a large amount of data can be challenging, so businesses use data management processes to support them. Many businesses use data from a wide variety of different sources to gain insights into their customers and business performance.
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