ELTtyönkulkuihin

ELTtyönkulkuihin is a Finnish term that translates to "ELT workflows" or "ELT processes" in English. It refers to the series of steps involved in Extract, Load, and Transform data. In the context of data management and warehousing, ELT is a data integration process where data is first extracted from various sources and loaded into a target system, such as a data lake or data warehouse. The transformation of this data is then performed within the target system.

This approach contrasts with the traditional ETL (Extract, Transform, Load) method, where data is transformed *before* being loaded into the target. ELT is often favored in modern data architectures, particularly with the rise of cloud-based data warehouses and data lakes that offer scalable processing power. The advantage of ELT lies in its ability to leverage the processing capabilities of the target system, allowing for faster loading of raw data and enabling more flexible and complex transformations to be applied later as needed.

ELTtyönkulkuihin typically involve several key stages. First, extraction gathers data from diverse sources like databases, APIs, and files. Second, loading moves this raw, un-transformed data into a staging area or directly into the data warehouse. Finally, transformation applies the necessary changes, such as cleaning, aggregation, enrichment, and restructuring, to prepare the data for analysis and reporting. This workflow allows data scientists and analysts to work with a broader range of raw data and apply transformations tailored to specific analytical requirements.