You can now partition your data in analytical store using keys that are critical for your business logic to achieve better query and data load performance. Partition pruning results in faster analytical queries and loads as less data is scanned in the partitioned stores. You can also benefit from the data processing improvements if your workloads have a significant number of updates or deletes.
This capability is available for Apache Spark in Azure Synapse Analytics, in preview, in all Azure regions. To get started, please refer to our documentation.