We are proud to share our inclusion in the 2024 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition reflects the differentiated business outcomes CData delivers to our customers.
Get the Report →How to Build an ETL App for Google Campaign Manager 360 Data in Python with CData
Create ETL applications and real-time data pipelines for Google Campaign Manager 360 data in Python with petl.
The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData Python Connector for Google Campaign Manager 360 and the petl framework, you can build Google Campaign Manager 360-connected applications and pipelines for extracting, transforming, and loading Google Campaign Manager 360 data. This article shows how to connect to Google Campaign Manager 360 with the CData Python Connector and use petl and pandas to extract, transform, and load Google Campaign Manager 360 data.
With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Google Campaign Manager 360 data in Python. When you issue complex SQL queries from Google Campaign Manager 360, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Campaign Manager 360 and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Connecting to Google Campaign Manager 360 Data
Connecting to Google Campaign Manager 360 data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.
Google Campaign Manager uses the OAuth authentication standard. The data provider facilitates OAuth in various ways as described below. The following OAuth flow requires the authenticating user to interact with DoubleClick Campaign Manager, using the browser. You can also use a service account to authenticate.
For authentication guides, see the Getting Started section of the data provider help documentation.
After installing the CData Google Campaign Manager 360 Connector, follow the procedure below to install the other required modules and start accessing Google Campaign Manager 360 through Python objects.
Install Required Modules
Use the pip utility to install the required modules and frameworks:
pip install petl pip install pandas
Build an ETL App for Google Campaign Manager 360 Data in Python
Once the required modules and frameworks are installed, we are ready to build our ETL app. Code snippets follow, but the full source code is available at the end of the article.
First, be sure to import the modules (including the CData Connector) with the following:
import petl as etl import pandas as pd import cdata.googlecm as mod
You can now connect with a connection string. Use the connect function for the CData Google Campaign Manager 360 Connector to create a connection for working with Google Campaign Manager 360 data.
cnxn = mod.connect("UserProfileID=MyUserProfileID;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")")
Create a SQL Statement to Query Google Campaign Manager 360
Use SQL to create a statement for querying Google Campaign Manager 360. In this article, we read data from the CampaignPerformance entity.
sql = "SELECT Clicks, Device FROM CampaignPerformance WHERE Device = 'Mobile devices with full browsers'"
Extract, Transform, and Load the Google Campaign Manager 360 Data
With the query results stored in a DataFrame, we can use petl to extract, transform, and load the Google Campaign Manager 360 data. In this example, we extract Google Campaign Manager 360 data, sort the data by the Device column, and load the data into a CSV file.
Loading Google Campaign Manager 360 Data into a CSV File
table1 = etl.fromdb(cnxn,sql) table2 = etl.sort(table1,'Device') etl.tocsv(table2,'campaignperformance_data.csv')
In the following example, we add new rows to the CampaignPerformance table.
Adding New Rows to Google Campaign Manager 360
table1 = [ ['Clicks','Device'], ['NewClicks1','NewDevice1'], ['NewClicks2','NewDevice2'], ['NewClicks3','NewDevice3'] ] etl.appenddb(table1, cnxn, 'CampaignPerformance')
With the CData Python Connector for Google Campaign Manager 360, you can work with Google Campaign Manager 360 data just like you would with any database, including direct access to data in ETL packages like petl.
Free Trial & More Information
Download a free, 30-day trial of the CData Python Connector for Google Campaign Manager 360 to start building Python apps and scripts with connectivity to Google Campaign Manager 360 data. Reach out to our Support Team if you have any questions.
Full Source Code
import petl as etl import pandas as pd import cdata.googlecm as mod cnxn = mod.connect("UserProfileID=MyUserProfileID;InitiateOAuth=GETANDREFRESH;OAuthSettingsLocation=/PATH/TO/OAuthSettings.txt")") sql = "SELECT Clicks, Device FROM CampaignPerformance WHERE Device = 'Mobile devices with full browsers'" table1 = etl.fromdb(cnxn,sql) table2 = etl.sort(table1,'Device') etl.tocsv(table2,'campaignperformance_data.csv') table3 = [ ['Clicks','Device'], ['NewClicks1','NewDevice1'], ['NewClicks2','NewDevice2'], ['NewClicks3','NewDevice3'] ] etl.appenddb(table3, cnxn, 'CampaignPerformance')