Google Analytics
Google Analytics ETL connector for data replication
Last updated
Google Analytics ETL connector for data replication
Last updated
Sign in to Daton.
Select Google Analytics from the Integrations page.
Provide Integration Name, Replication Frequency, and History. The integration name would be used in creating tables for the integration and cannot be changed later.
You will be redirected to Google Analytics log in for authorizing Daton to extract data periodically.
Post successful authentication, you will be prompted to choose from the list of available Google Analytics Views.
Select a combination of Metrics and Dimensions.
Submit the integration.
For selecting additional combinations of Metrics and Dimensions, one has to create a new integration from step-2. One can select a maximum of 7 metrics and 10 dimensions in one combination.
Integrations would be in the Pending state initially and will be moved to the Active state as soon as the first job loads data successfully onto the configured warehouse.
Users would be able to edit/pause/re-activate/delete integration anytime.
Users can view job status and process logs from the integration details page by clicking on the integration name from the active list.
Each combination of Metrics and Dimensions would be stored as a table in the selected warehouse along with additional metadata.
For Example - To get daily cost figures of campaigns across sources, one has to select - Metrics: gaSessions, gaAdCost Dimensions: gaDate, gaCampaign, gaKeyword, gaSource.
The data will be stored incrementally based on gaDate in the warehouse as a table with the following fields:
Features
Details
Release Status
Released
Source API Version
v4
Table Selection
NA
Column Selection
NA
Edit Integration
Yes
Replication Type Selection
No
Authentication Parameters
Google Analytics account email Google Analytics account password
Replication Type
Key Based Incremental
Replication Key
Date
Suggested Replication Frequency
24 hrs
Tables/APIs Supported
Data will be fetched in combinations of Metrics and Dimensions. One has to create separate Google Analytics integrations for each combination of Metrics and Dimensions.
GoogleAnalytics_CampaignCost
StartDate
DATE
EndDate
DATE
D_ga_date
STRING
D_ga_campaign
STRING
D_ga_keyword
STRING
D_ga_source
STRING
D_ga_sourceMedium
STRING
D_ga_medium
STRING
M_ga_sessions
STRING
M_ga_adCost
STRING
_daton_user_id
NUMERIC
_daton_batch_runtime
NUMERIC
_daton_batch_id
NUMERIC