-
Shrinidhi Rao posted an update
Data Engineering vs. Data Science: Understanding the Difference
Data engineering and data science are two critical pillars of the data ecosystem, each playing a distinct role. Data engineering focuses on building and maintaining the infrastructure and pipelines that allow data to be collected, stored, and processed efficiently. It ensures that data is reliable, scalable, and accessible for analysis. In contrast, data science involves analyzing this data to extract insights, build predictive models, and drive decision-making through advanced techniques like machine learning and statistical analysis. While data engineers enable the flow of data, data scientists make sense of it, working together to unlock the true value of data.
