What is the difference between Data Science and Data Engineering?
Data Science and Data Engineering are two related but distinct fields within the larger world of data analysis.
Data Engineering is all about building and maintaining the infrastructure that enables data to be collected, stored, and processed. It involves designing databases, pipelines, and other systems to handle large and complex data sets. Data Engineers ensure that data is organised, reliable, and accessible for analysis.
On the other hand, Data Science focuses on extracting insights and knowledge. It involves applying statistical methods, machine learning algorithms, and other techniques to identify patterns, make predictions, and inform decision-making. Data Scientists work on analysing data and extracting insights that can be used to solve problems and drive innovation.
To put it simply, Data Engineering is about creating the framework to enable data analysis, while Data Science is about using that framework to gain insights and knowledge.