CDATA Configure schema tables are taking longer to load
Hi,I have data source as CDATA(most of the data is from API), when performing schema load its taking longer compared to RDBMS.is there any way to increase the performance ?
Hi,I have data source as CDATA(most of the data is from API), when performing schema load its taking longer compared to RDBMS.is there any way to increase the performance ?
Hello,Is there any way to Pivot some of the raw data columns (not in PySpark) prior to using the data for analytics?Also, Is there any way to use Python instead of PySpark in the MV creation?
Hi Community,I'm looking to connect to outlook email data for some analysis.Is there a custom connector in incorta to do so ? Or is it possible to connect to a power apps (dataverse table) ?Thanks in advance!
Hello !I have a few database tables that store a datetime value as a Long/Big Int Value. I was windering if there is a formula in incorta that i can use to retreive these values in the original datetime format.Kindly find an example below:Stored Valu...
. Your first challenge is to create a business schema that focuses solely on sales for an existing schema already loaded into Incorta named sch_TBC.=> I could not find the schema sch_TBC loaded on my incorta. kindly help me with data source.