Machine learning (ML) is not just a trend—it’s a core enabler of intelligent systems across industries. From personalized recommendations in retail to early disease prediction in healthcare, ML has become the foundation for data-driven innovation. However, building effective ML models relies on more than just algorithms—it depends heavily on robust, scalable, and unified data architectures.