What is ETL?

Data integration architectures are crucial for businesses to manage and analyze large volumes of data. ETL (Extract, Transform, Load) is a key enabler in this process, allowing data to be extracted from various sources, transformed into a standardized format, and loaded into a central data warehouse. This enables applications like master data management (MDM), cross-application data consistency, and sharing. However, traditional ETL systems face challenges such as monolithic architectures, labor-intensive development, and handling newer data formats. The future of ETL is reimagined with ELT (Extract, Load, Transform) and reverse ETL, leveraging cloud technologies to improve scalability, flexibility, and efficiency in managing and utilizing data for business insights.