Consumer demand for usable data has increased the need for data engineering. By developing team competency, driving data pipeline automation, introducing DataOps and agile practices, and building composable D&A apps, data and analytics leaders can build a successful data engineering practice.
Strategic Planning Assumption
Gartner Recommended Reading
Note 1: What Is Data Engineering?
Note 2: The Role of a Data Engineer