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there are many benefits of partitioning the data. Is there any limit or constraint to consider?
i.e. does it make sense to parition 5 years of data by day? would vertipaq scale and parallerize the queies as efficiently as parititioning by week or by month?
so are we saying the number of partition does not matter? I cannot find any benchmark anywhere.
Yes that is correct.
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The biggest reason to use Incremental refreshing is so that you do not need to take hours to refresh your data. Other than that there is not a big performance improvement with incremental refreshing.
so if I have a dataset hosting 7 years of daily records we're saying having 2555 partitions (7x365) per day may be more efficient to refresh than 84 partitions by period (12x7)?
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