Part 1/9:
Understanding Data Engineering: The Cornerstone of Modern Data Ecosystems
Data engineering is often perceived as a complex and multi-layered field, essential to the successful functioning of data-driven organizations. While many see it simply as the process of extract, transform, and load (ETL), its scope extends far beyond this basic framework, embodying a myriad of roles that collectively empower businesses to harness the full potential of their data assets.