What are the best ways to manage ETL project risks?
ETL stands for extract, transform, and load, a process of moving data from different sources, applying transformations, and loading it into a target data warehouse or database. ETL projects are essential for business intelligence (BI) because they enable data integration, analysis, and reporting. However, ETL projects also involve many risks, such as data quality issues, scope creep, technical errors, and delays. In this article, you will learn some of the best ways to manage ETL project risks and ensure successful outcomes.