Transform multiple data formats into a common format.Separate data into a variety of categories.Even when using a single data warehouse, organizations often need the ETL process because they want to: Some organizations use more than one data warehouse or partner with organizations that use different data warehouse services. Popular data warehouse platforms include: Organizations use data warehouses because they want to store, aggregate, and process information that they can use in conjunction with business intelligence tools.
GET STARTED ETL Process in Data Warehousesĭata warehouses can hold information from multiple data sources. Any time someone needs to move, categorize, or standardize data, they could benefit from an ETL solution. The ETL process saves time and enhances data. Federal agencies that want to pull statistics from hundreds of local databases, separate the data into specific categories, and load to a national database so authorities can get an overhead view of common challenges in communities across the country.Online retailers that serve customers through websites, apps, and other tools can pull data from all points of sale, transform the data into a standard format, and load the transformed data into applications that help them forecast demand and minimize churn.Hospitals that want to extract patient data from legacy systems, transform the data into a format that the new system recognizes, and load the reformatted patient data into a single system that helps healthcare professionals make decisions that improve health outcomes.Marketing companies that want to extract data from multiple client relationship management (CRM) solutions, transform all of the data into one format and load the formatted data into business intelligence applications that can reveal trends in consumer behaviors.Some uses within a variety of industries include: Data’s growing importance means that many types of organizations use ETL. Why Do You Need ETL?ĭata has become essential for business success and decision-making. They explain how ETL platforms perform each step. ETL stands for “ Extract, Transform, and Load.” The acronym applies to platforms that can take data from one or more sources, transform the data into different formats, and load the processed data to one or more sources.įor a more detailed explanation, visit the sections below in ETL Process in Data Warehouses.