Partitioning Strategies in Data Lakes: When and Why They Matter
Data lakes have become the backbone of modern data architectures, storing petabytes of raw, semi-structured, and structured data in their native formats. Yet as these repositories grow exponentially, a critical challenge emerges: how do you efficiently query and analyze massive datasets without scanning through terabytes of irrelevant information? This is where partitioning strategies become not … Read more