The Importance of Data Engineering in Data Science
Introduction: In the world of data science, complex algorithms, predictive models, as well as perceptive visualisations frequently receive a lot of attention. Data engineering from the 360DigiTMG institute, however, is the essential foundation that supports all of these striking elements and drives the full data science pipeline. In it, we examine the crucial role that data engineering plays in data science, emphasising how it paves the way for deriving useful knowledge from unstructured data. Data Collection and Integration: Data engineering encompasses the process of collecting, cleaning, and integrating data from various sources into a unified format. Raw data often exists in diverse formats and locations, ranging from databases and APIs to streaming platforms. Data engineers play a pivotal role in structuring and consolidating this data, ensuring that it is accessible and usable by data scientists. The quality and completeness of the collected data directly impact the accuracy an