Data engineering is fundamental to data science and decision-making. It covers data management, ETL solutions, and data mining.

Understand the aspects of data engineering to communicate your business needs and develop solutions that meet your needs.

A strong healthcare data management system enables different systems to be interoperable. ETL (Extract, Transform, Load) processes involve transferring data from one or more sources to a relational database or digital system. Data mining involves selecting a data set that pertains to a series of questions or problems.