Here's your Data + AI Summit 2024 - Warehousing & Analytics recap as you use intelligent data warehousing to improve performance and increase your organization’s productivity with analytics, dashboards and insights. Keynote: Data Warehouse presente...
SQL Analytics actually uses several layers of caching. Some documentation about the different layers can be found here in the documentation. There are two primary layers that users will experience. 1) The first is that the actual data results of spec...
At this time user credential passthrough is not supported on SQL Endpoints. Instead Databricks recommends using Table ACL's for data security.
I am wondering if you can run queries that manipulate the actual data from within the Databricks SQL environment, or is it the case that you can only query tables?
Yes, as long as proper permissions are in place you can run data manipulation through the SQL interface.
Hi! There are a few different types of caching that are supported in Databricks SQL, and you can see the cache retention policy for each of these different types of cache by starting here - https://docs.databricks.com/sql/admin/query-caching.html Que...
For instance, replacing an existing record only if it has a newer processed time field.
The new SQL Analytics is fantastic. See this for details.
FYI
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