Zendesk to BigQuery Migration: 2 Easy Methods

Do you have a lot of Customer Service data in Zendesk? Do you want to take a deep dive into Zendesk data and perform advanced analysis on it? If yes, then you’ve come to the right place. Transferring your data from Zendesk to BigQuery or any other Data Warehouse of your choice might be an excellent way to perform a comprehensive analysis of your data. This article will help you understand how you can easily set up this migration and perform the necessary analysis on it.

Methods to Set up Zendesk to BigQuery Migration

Users can set up Zendesk to BigQuery Migration by implementing one of the following methods:

Method 1: Zendesk to BigQuery Migration Using Automated Data Pipelines

Hevo helps you directly transfer data from Zendesk and various other sources to Google BigQuery, Business Intelligence tools, Data Warehouses, or a destination of your choice in a completely hassle-free & automated manner.

Hevo is fully managed and completely automates the process of not only loading data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss.

Hevo takes care of all your data preprocessing needs required to set up Zendesk to BigQuery Migration and lets you focus on key business activities and draw a much powerful insight on how to generate more leads, retain customers, and take your business to new heights of profitability. It provides a consistent & reliable solution to manage data in real-time and always have analysis-ready data in your desired destination. 

The following steps can be implemented to set up Zendesk to BigQuery Migration using Hevo:

• Configure Source: Connect Hevo Data with Zendesk by providing a unique name for your Pipeline, along with details about Zendesk such as the Token, associated Email Address,  your Zendesk sub-domain, etc.

• Integrate Data: Complete Zendesk to BigQuery Migration by providing information about your Google BigQuery destination such as the authorized Email Address, Project ID, etc.

Sign up here for a 14-Day Free Trial!

Method 2: Manual Zendesk to BigQuery Migration

Users can manually set up Zendesk to BigQuery Migration by implementing the following steps:

• Step 1: Extracting Data from Zendesk as CSV
• Step 2: Loading CSV Data into Google BigQuery

Step 1: Extracting Data from Zendesk as CSV

• Log in to your Zendesk account.
• Click on the Gear icon in the sidebar and select Reports under the Manage section.
• Under the Reporting section, input the time period over which you wish to export the data and the type of data you wish to export in the Type field.
• Click on Request File next to CSV.

• A background job will now start preparing your file, and you will receive a download link via email once it’s complete.
• Click the link in the Email you receive to download the CSV file containing the required data.

Step 2: Loading CSV Data into Google BigQuery

Once the data has been exported from Zendesk as CSV, it has to be imported into Google BigQuery. Users can easily perform a batch-load job in Python by running the following code:

from google.cloud import bigquery

# Construct a BigQuery client object.
client = bigquery.Client()

# TODO(developer): Set table_id to the ID of the table to create.
# table_id = "your-project.your_dataset.your_table_name"

job_config = bigquery.LoadJobConfig(
    source_format=bigquery.SourceFormat.CSV, skip_leading_rows=1, autodetect=True,
)

with open(file_path, "rb") as source_file:
    job = client.load_table_from_file(source_file, table_id, job_config=job_config)

job.result()  # Waits for the job to complete.

table = client.get_table(table_id)  # Make an API request.
print(
    "Loaded {} rows and {} columns to {}".format(
        table.num_rows, len(table.schema), table_id
    )
)

All data will now get imported into Google BigQuery and you can perform the necessary analysis of your Zendesk data.

Limitations of Manual Zendesk to BigQuery Migration

The limitations of setting up manual Zendesk to BigQuery Migration are as follows:

• This method involves developing custom scripts, which would require a lot of time in development and maintenance.
• No fast standardizations like times, currency conversions, etc., are performed in this method. Users will have to write Python code manually based on their requirements to perform the required transformations.
• Manual Zendesk to BigQuery Migration is a complex process that might be tough to perform for someone who does not have enough technical knowledge of Zendesk and Google BigQuery.
• The process of exporting the data from Zendesk and importing it into Google BigQuery has to be done manually every time the data has to be updated in Google BigQuery.

Conclusion

This article provided you with a step-by-step guide on how you can set up Zendesk to BigQuery Migration manually or using Hevo. However, there are certain limitations associated with the manual method. If those limitations are not a concern to your operations, then using it is the best option but if it is, then you should consider using automated Data Integration platforms like Hevo.