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Google Analyticss ​

Google Analytics is an analytics service that helps you measure traffic and engagement across various platforms, like websites and apps.

ingestr supports Google Analytics as a source.

Bruin supports Google Analytics as a source for ingestr assets, and you can use it to ingest data from Google Analytics into your data warehouse.

To set up a Google Analytics connection, you need to add a configuration item in the .bruin.yml file and the asset file. You will need path to service_account_file and property_id.

Follow the steps below to correctly set up Google Analytics as a data source and run ingestion.

Step 1: Add a connection to .bruin.yml file ​

yaml
    googleanalytics:
        - name: "googleanalytics"
          service_account_file: "/path/to/service/account.json"
          property_id: "1234"
  • service_account_file: The path to the service account JSON file
  • property_id: It is a unique number that identifies a particular property on Google Analytics. Follow this guide to know about property ID.

Step 2: Create an asset file for data ingestion ​

To ingest data from Google Analytics, you need to create an asset configuration file. This file defines the data flow from the source to the destination. Create a YAML file (e.g., gAnalytics_ingestion.yml) inside the assets folder and add the following content: s

yaml
name: public.googleanalyticss
type: ingestr
connection: postgres

parameters:
  source_connection: googleanalytics
  source_table: 'custom:city,date:activeUsers,newUsers'

  destination: postgres
  • name: The name of the asset.
  • type: Specifies the asset’s type. Set this to ingestr to use the ingestr data pipeline. For Pipedrive, it will be always ingestr.
  • connection: This is the destination connection, which defines where the data should be stored. For example: postgres indicates that the ingested data will be stored in a Postgres database.
  • source_connection: The name of the Google Analytics connection defined in .bruin.yml.
  • source_table: The name of the data table in Google Analytics to ingest data from. Currently, only one table is supported: custom, which refers to Custom Reports. These allow you to retrieve data based on specific dimensions and metrics. For more information, please visit here
  • destination: The name of the destination connection.

Step 3: Run asset to ingest data ​

bruin run assets/gAnalytics_ingestion.yml

As a result of this command, Bruin will ingest data from the given Google Analytics table into your Postgres database.

GoogleAnalytics