Turbocharging Efficiency & Slashing Costs: Mastering Spark & Iceberg Joins with Storage-Partitioned

Original URL: https://medium.com/expedia-group-tech/turbocharge-efficiency-slash-costs-mastering-spark-iceberg-joins-with-storage-partitioned-join-03fdc1ff75c0

Article Written: December 3, 2024

Added: December 26, 2024

Type: spike

Summary

Leverage of Iceberg table, Data is partitioned and stored in a way that aligns with the join keys, enabling highly efficient joins with minimal data movement for Spark job.

Data Problems Addressed

Intensive big data join

Technologies Referenced

Apache Spark Apache Iceberg