How to load data from ZohoCRM to BigQuery

Learn how to use Airbyte to synchronize your ZohoCRM data into BigQuery within minutes.

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Bespoke pipelines are:
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Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a ZohoCRM connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up BigQuery for your extracted ZohoCRM data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the ZohoCRM to BigQuery in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

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What our users say

Raman Singh

Tech Lead at Symend

Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend

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Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

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Rupak Patel

Operational Intelligence Manager

"With Airbyte, we could just push a few buttons, allow API access, and bring all the data into Google BigQuery. By blending all the different marketing data sources, we can gain valuable insights."

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How to Sync to Manually

Step 1: Export Data from Zoho CRM

Start by logging into your Zoho CRM account and navigate to the module from which you want to export data (e.g., Leads, Contacts, etc.). Use the "Export" option available in the module's options menu to download the data as a CSV file. Ensure the export includes all necessary fields you want to transfer to BigQuery.

Step 2: Prepare CSV Files

Once you have your CSV file, open it in a spreadsheet application such as Excel or Google Sheets. Review the data to ensure it is clean and formatted correctly, removing any unnecessary columns or rows. Make sure the column names are descriptive and consistent, which is crucial for mapping data in BigQuery.

Step 3: Set Up Google Cloud Project

If you haven’t already, set up a Google Cloud project. Go to the Google Cloud Console, create a new project, and enable billing. After setting up, enable the BigQuery API for your project by navigating to the API library and selecting BigQuery API.

Step 4: Create BigQuery Dataset

In the BigQuery section of the Google Cloud Console, create a new dataset to hold your data. A dataset in BigQuery is a collection of tables. Name your dataset appropriately, as it will help you distinguish between different data sources.

Step 5: Design Table Schema

Before importing the data, you need to design a table schema that matches the structure of your CSV file. Define the table's columns and data types based on the CSV. This can be done manually in the BigQuery console by creating a new table and specifying the schema according to your CSV file’s structure.

Step 6: Upload CSV to BigQuery

Use the BigQuery web UI to upload the CSV file directly to your newly created table. In the BigQuery console, select your dataset, click on "Create Table," and choose "Upload" as the source. Select your CSV file, assign it to the correct table, and ensure the schema matches the CSV structure. Adjust the settings as needed, such as field delimiter and header row specification.

Step 7: Verify Data Import

After the upload process is complete, perform a query on the BigQuery table to verify that the data has been imported correctly. Check for any discrepancies or errors in the data types and values. Use SQL queries within the BigQuery console to examine and validate the integrity of the data, ensuring all necessary information has been accurately captured and is ready for analysis.
By following these steps, you can manually move data from Zoho CRM to BigQuery without relying on third-party connectors or integrations.