To capitalize on the value of enterprise data, organizations must create a modern data warehousing environment that embodies agile design and development, rapid time-to-value, and adaptable infrastructure that can flex quickly and easily as business needs change.Unsurprisingly, achieving this goal requires not only the right approach but the appropriate toolset.

During this data warehousing strategy discussion, we wish to bring the expert views on the traditional extract, transform, and load (ETL) and the new improved extract, load, and transform(ELT) for understanding their importance in Modern data warehousing projects