ETL vs ELT: Which one should you use and why?

Introduction Data is the new gold. Data drives business in organizations. As the amount of data, data sources and data types in organizations grow, there is importance in making use of this data in analytics to derive business insights. This lead to the emergence of data engineers who process the raw messy data into clean, fresh and reliable data ready for business use. What is ETL? ETL stands for Extract, Transform and Load. This is a process that data engineers use to extract data from from di