Data Acquisition

A big contribution toward determining the performance of any machine learning model is the quality and quantity of the data.

Usually, a data warehousing team/infrastructure team (DWH) is responsible for maintaining the data-related infrastructure at a company. The team takes care that data is never lost, that the underlying infrastructure is stable, and that data is always available for any team that might be interested in using it. The data science team, being one of the consumers of the data, contacts the DWH team, which grants them access to a database that contains all the reviews for various items in the product catalog of the company.

Typically, there are multiple data fields/tables in the database, some of which may not be important for the machine learning model development.

A data engineer (a part of the DWH team/member of another team/member of your team) then connects to the database, processes the data into a tabular format, and generates a flat file in the csv...