Part 1/13:
The Evolution and Best Practices of Data Engineering
In a recent engaging session, data engineers were prominently recognized for their vital role across organizations, shedding the age-old perception of being the "unsung heroes." As the foundation of AI workflows and analytics, data engineers now stand in the limelight, with their contributions crucial to the success of data-driven initiatives. Their work not only involves building pipelines but also ensuring the robustness, scalability, and security of data systems, essential for providing high-quality and trustworthy data for business decision-making.