article thumbnail

Moving Past ETL and ELT: Understanding the EtLT Approach

Ascend.io

Performance: Because the data is transformed and normalized before it is loaded , data warehouse engines can leverage the predefined schema structure to tune the use of compute resources with sophisticated indexing functions, and quickly respond to complex analytical queries from business analysts and reports.

article thumbnail

What is ETL Pipeline? Process, Considerations, and Examples

ProjectPro

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52