Difference Between Data Engineering and Data Science

Although data engineering and data science are interrelated, they have distinct approaches and objectives:

• Data Engineering: Focuses on creating systems and architectures that enable the manipulation and flow of data. Data engineers handle the infrastructure and ensure that the data is prepared and available for analysis. Their work includes building data pipelines, managing databases, and optimizing data storage and processing.

• Data Science: Concentrates on extracting knowledge and value from data. Data scientists use statistical analysis techniques, machine learning, and modeling to interpret and predict trends from available data. Their work is more oriented towards interpretation and generating insights rather than building data systems.