![]() ![]() This decision is not based on the maximum possible size for the column, but rather the size of the actual data in each row. As noted above, if a column contains data too large to be migrated, the migration tool alerts the user that the contents can't be migrated. You'll notice some Dataverse columns don't have the same size capacity as Access. More information: Define calculated columns to automate calculations Access and Dataverse data size comparison ![]() Users will need to configure new calculation columns in Dataverse. You can change these types to decimal in Access and then migrate without data loss.ĤWhen you migrate, the calculated field will migrate the last calculated value into a column. More information including a workaround: Migrate Number:Single and Number:Double columns to Dataverse. Access data types not supported for migration to DataverseģDataverse includes a float data type however, it has lower limits than Access. More information: Export multi-value lookup Access Fields to Dataverse choice columnsĢ Attachments can be migrated for single attachments per column at this time. Because of the difference in how Dataverse and Access identify these lookups, a manual process is needed in Access before migration. Access data typeġOne column multi-value lookups only. In the following table, the data type mappings supported can assist you in planning your data migration. Join the Microsoft Access beta to start your migration Access data types supported by Dataverse ![]()
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