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How to use Power Query in data factory?
The Power Query activity allows you to build and execute Power Query mash-ups to execute data wrangling at scale in a Data Factory pipeline. You can create a new Power Query mash-up from the New resources menu option or by adding a Power Activity to your pipeline.
Where is Power Query activity in Azure Data Factory?
Previously, data wrangling in Azure Data Factory was authored from the Data Flow menu option. This has been changed to authoring from a new Power Query activity. You can work directly inside of the Power Query mash-up editor to perform interactive data exploration and then save your work.
How to pass an array to the foreach activity item field?
You pass the value array to the ForEach activity items field by using the pattern of @activity (‘MyLookupActivity’).output.value. To access elements in the value array, use the following syntax: @ {activity (‘lookupActivity’).output.value [zero based index].propertyname}.
What to do with the output of a lookup activity?
Lookup activity reads and returns the content of a configuration file or table. It also returns the result of executing a query or stored procedure. The output from Lookup activity can be used in a subsequent copy or transformation activity if it’s a singleton value. The output can be used in a ForEach activity if it’s an array of attributes.
When to disable an azure monitor activity log?
After those section, there’s an example of the activity log that is sent when a rule is disabled. When the scope resources of an alert rule are no longer valid, rule execution fails, and billing stops. If a log alert fails continuously for a week, Azure Monitor disables it.
What does override query time range do in azure monitor?
For all other resource types, it’s called Override query time range. Like in log analytics, the time range limits query data to the specified period. Even if the ago command is used in the query, the time range will apply.