What is the first step in the ETL Data Architecture process?

The first step in the ETL (Extract, Transform, Load) Data Architecture process is extracting the necessary data from various sources. During this phase, relevant data is collected from multiple databases, applications, or data warehouses. This step is crucial because it sets the foundation for the entire ETL process.

Data extraction involves retrieving the data in a raw form without any alterations, ensuring that all necessary information is gathered before it undergoes any transformations or loads. Starting with the extraction phase allows architects and data engineers to assess the quality, format, and structure of the data that will be worked on in subsequent steps.

Once data is successfully extracted, it will be transformed into a suitable format for analysis and then loaded into a destination system, such as a data warehouse. This clear sequence emphasizes the importance of data extraction as an initial preparatory step, which is essential for ensuring that quality data is utilized within the ETL pipeline.