i have data source with total of ~500 columns over 10 joined tables from my sql server 2016 DWH.in general in such cases due to the many columns, should i consider live or extract mode?
assuming i will migrate my DWH to AWS Redshift what will be the answer then.
usually, you'll want to extract to:
Use live connections for data that's changing often (and if you need the most recent versions at any time).
I suggest using extracts whenever you don't need live data (and refreshes don't take hours).
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