You are designing an inventory updates table in an Azure Synapse Analytics dedicated SQL pool. The table will have a clustered columnstore index and will include the following columns:
* EventDate: 1 million per day
* EventTypelD: 10 million per event type
* WarehouselD: 100 million per warehouse
* ProductCategoryTypeiD: 25 million per product category type
You identify the following usage patterns:
Analyst will most commonly analyze transactions for a warehouse.
Queries will summarize by product category type, date, and/or inventory event type.
You need to recommend a partition strategy for the table to minimize query times.
On which column should you recommend partitioning the table?
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