ELTfolyamatokban

ELTfolyamatokban refers to processes related to Extract, Load, Transform (ELT). This is a data integration approach where data is first loaded into a target system, typically a data warehouse or data lake, before undergoing transformations. This contrasts with the traditional ETL (Extract, Transform, Load) method, where data is transformed before being loaded.

In ELT, raw data is extracted from various sources and directly loaded into a staging area within the data warehouse or data lake. Once the data is in the target system, its structure and content can be modified, cleansed, and enriched using the processing power of the target system itself. This approach leverages the scalability and performance of modern cloud data warehouses, which are designed to handle large volumes of data and complex transformations.

The primary advantage of ELT is its flexibility and speed. By loading raw data first, organizations can make it available for analysis much quicker. Transformations can then be applied as needed, allowing for agile development and the ability to adapt to changing business requirements. ELT is particularly well-suited for big data scenarios and cloud-based data architectures where the target system has significant processing capabilities. It simplifies the initial loading phase and shifts the complexity of transformations to the more powerful destination environment.