This question already has an answer here:
How to get an export of firebase analytics full historic data?
(1 answer)
Closed 3 years ago.
I have an trouble when linking Firebase Event to Big data.
In Firebase Analytics, I have many event .
I linked firebase with Big Query
But in Big Query, I can't see it.
How can I see it?
From the documentation:
Once an app is linked to BigQuery, a corresponding dataset is created in the associated BigQuery project upon the first daily export of events. Each day, raw event data for each linked app populates a new table in the associated dataset, and raw event data is streamed into an intraday BigQuery table in real-time. Data prior to linking to BigQuery is not available for import.
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This question already has an answer here:
How to get an export of firebase analytics full historic data?
(1 answer)
Closed 12 days ago.
I'm using streaming data exports from firebase to bigQuery and it's working fine, yesterday I excluded events from the data by mistake so yesterday's table 20230207 came with missing events. is there any way to refill this table on this specific date back to bigQuery with the updated events settings
I tried to look if there is a manual option to refill that table, but didn't find
There is no way to retrieve historical data from Google Analytics.
Also see:
How to get app's old analytics data from firebase to bigquery?
How to get an export of firebase analytics full historic data?
I have some data from CRM and I wanna use Offline Event Data in Data Import of GA 4 to insert CRM's "offline data".
In CSV files that I imported multiple times, All things are good, but although no error found, "timestamp_micros" of events did not appear in results after near 24 hours and time of upload is considered as timestamp of data.
Is this format for "Timestamp_micros" is TRUE?
2021-04-08T22:25:09.335541+02:00
How can I add timestamp dimension on import data offline in Google Analytics 4? Can be done without using GTM?
I expect that timestamp related to each event would appear correctly in results and reports.
That documentation page
https://support.google.com/analytics/answer/10325025?hl=en#template
gives an example
As you see it's a Unix time format
I'm currently in the middle of the process of linking my Google analytics data to Big Query and the following note caught my attention when selecting the view to pick.
If this is the first time that you have linked this view, then data
will be backfilled for the smaller of 13 months or 10 billion hits.
Its a little unclear to me whether this 13 months of data will have costs in importing once I linked to BigQuery.
The process itself doesn't have a price component for back filling, but the storage it will occupy in BigQuery adds to your storage costs.
If you don't want old data, make sure you archive/remove/delete it.
This question already has answers here:
How to change data in Google Analytics
(2 answers)
Closed 4 years ago.
I am trying to send large amount of custom data with google analytics. This can be achieve, but my use-case is, after we set custom data in google analytics, we need to update those data, which is previously stored. Any idea or any inbuilt method available for it?
Custom data can be overwritten (excluding Refund data)
https://support.google.com/analytics/answer/6014980?hl=en&utm_id=ad
I tested it. I've uploaded cost data for source/medium and date. And then I've uploaded another file and data was overwritten.
You can not update data in GA, but you can use filters. For intance, try to build your custom filter using regular expressions
What is the time taken by google analytics to start exporting historical data into the google cloud after the linking is complete between Big Query and Google Analytics.
According to Google's documentation:
Once the linkage is complete, data should
start flowing to your BigQuery project within 24 hours. 1 file will be
exported each day that contains the previous day’s data, and 3 files
will be exported each day that contain the current day's data. We will
provide a historical export of the smaller of 10 billion hits or 13
months of data within 4 weeks after the integration is complete.