What are the most common data engineering challenges in ML projects?
Data engineering is the backbone of any machine learning project, as it involves collecting, processing, and transforming data for analysis and modeling. However, data engineering also poses many challenges that can affect the quality, efficiency, and reliability of ML solutions. In this article, we will discuss some of the most common data engineering challenges in ML projects and how to overcome them.