Data growth has led to the need for modernization of data processes. In this article, we discuss conventional database systems, big data infrastructures, and the importance of ETL pipelines. We touch on the current state of data generation and the need for real-time processing and analytics, as well as the importance of data security and ETL pipelines in advanced applications such as Machine Learning. We also discuss the idea behind the relational database, the ETL pattern, and the challenges faced by database engineers. Overall, this article provides insights into the changing face of ETL and how organizations can adapt to the evolving data landscape.
