ELT (Extract, Load, Transform) is a technology used to transfer data from its source to a target system. It is a process that extracts data from its source, loads it to a target system, and transforms it into the required format or structure. The process typically includes two-way communication with the source system, as well as the target system.
The primary purpose of ELT is to allow for the continuous synchronization of data between two or more systems. This is usually done to enable the most current information to be available to both systems.
ELT is often used in the fields of data integration, business intelligence, and data warehousing. By maintaining a continuous flow of data, ELT makes it easy for businesses to analyze and make decisions based on the most up-to-date information.
The ELT process typically includes the following steps:
1. Extract – The data is extracted from its source, which can range from a single table in a relational database to a data file from a proprietary system.
2. Load – The data is loaded into the target system, which can be a relational database, a data warehouse, or an analytics platform.
3. Transform – the data is transformed into the required format and structure, which may include creating unique identifiers for data stored across multiple databases.
ELT is a powerful and powerful technology that helps businesses make data-driven decisions faster than ever before. It can also be used to integrate data across multiple systems, helping to create a unified view of customer data.
