Ryan Majidimehr has an update for us:
Low Shuffle Merge optimization for Delta tables is now available in Apache Spark 3.2 and 3.3 pools. You can now update a Delta table with advanced conditions using the Delta Lake MERGE command. It can update data from a source table, view, or DataFrame into a target table. The current algorithm of the MERGE command is not optimized for handling unmodified rows. With Low Shuffle Merge optimization, unmodified rows are excluded from expensive shuffling execution and written separately.
To learn more about this new command, read Low Shuffle Merge optimization on Delta tables.
Looks like a bit of work on Data Explorer pools and a little bit on Spark pools and Synapse Link to Cosmos DB to round out the month.