Delta-lake - Z-Ordering, Z-Cube, Liquid Clustering and Partitions

Introduction Ever feel like your data lake is more of a data swamp, swallowing queries whole and spitting out eternity? You’re not alone. Managing massive datasets can be a Herculean task, especially when it comes to squeezing out those precious milliseconds of query performance. But fear not, data warriors, for Delta Lake has hidden treasures waiting to be unearthed: Z-ordering, Z-cube, and liquid clustering. Partition Pruning: The OG Hero Before we dive into these exotic beasts, let’s pay homage to the OG hero of data organization: partition pruning. Imagine your data lake as a meticulously organized library, with each book (partition) shelved by a specific topic (partition column). When a query saunters in, it doesn’t have to wander through every aisle. It simply heads straight for the relevant section, drastically reducing the time it takes to find what it needs. That’s the magic of partition pruning!