5 Ways Spark 4.1 Moves Data Engineering From Manual Pipelines to Intent-Driven Design
Some still carry memories of early big data struggles – those years filled with fragile workflows and unpredictable crashes. Not long ago, running a basic filter on sales records often spiraled into tangled operations. A short script? It quickly grew, burdened by custom retry systems and intricate dependencies. Workers juggled failing tasks while wrestling with … Read more