What is the difference between data engineering and data analytics?

Data engineering focuses on building the infrastructure and pipelines that manage the flow of data, while data analytics is concerned with interpreting and analyzing that data to extract insights. Engineers enable access to clean, structured data; analysts use that data to answer business questions and generate reports.

Both roles are interconnected. A solid data engineering foundation ensures that analytics teams can trust the data they use, leading to more accurate and actionable insights.