With the advent of automation, data volume, size, and speed are constantly evolving. The bigger concern that data teams face now is managing this enormous amount of data. Rising amounts of data bring about the need to warehouse it. The data warehousing process consists of three basic steps: extract, transform, and load, generally performed using ETL tools.