Data Engineering, Data Engineer, Programming, Machine Learning, Apache Spark.
Partitioning: Create custom partitioners for RDDs or DataFrames to guarantee that data distribution matches processing requirements, reducing data skew and increasing parallelism. Repartitioning: Use the repartition() or coalesce() operations to redistribute data evenly among partitions according