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Hi,
I need to create a report that queries a folder containing above 300 parquet files with same schema. 1for file per day is added. Data resides in a Gen 2 Azure storage account. The total size is 4GB (equivalent to 20GB if CSV).
I would need to add a filter for serial number and get all data (all coumns required) related to this serial number.
The problem is as the size is too large, I am getting Load exception in Power Bi desktop and cannot publish the whole dataset. The idea is to cache the dataset in the cloud say every day and users query this dataset, hopefully with a fast response.
Can you please guide me the best approach? I was looking for direct querying, but haven't found the connector in Parquet / CSV files
Tks!
Supposedly the new DirectLake stuff should allow you to query Parquet files at rest.
Until then you can consider loading them into a dataset (with incremental refresh if needed), and then point your report to that dataset.
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