Modern Data Warehousing and ETL/ELT Concepts

In-Depth Description

Data engineering focuses on building robust and scalable systems for collecting, storing, and processing data. This article discusses modern data warehousing architectures, contrasting traditional ETL (Extract, Transform, Load) with the increasingly popular ELT (Extract, Load, Transform) approach, especially in cloud environments. Learn about tools and best practices for designing efficient data pipelines that power analytics and business intelligence.