How to load data from Fullstory to BigQuery

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

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Fullstory 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 Fullstory 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 Fullstory 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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How to Sync to Manually

Step 1: Export Data from FullStory

Begin by exporting the data you need from FullStory. FullStory provides an API that allows you to extract raw event data. Use the FullStory API to query the data you require and export it in JSON or CSV format. Ensure you have the necessary API credentials and permissions to access the data.

Create a GCS bucket where you will temporarily store the exported data. Go to the Google Cloud Console, navigate to the Storage section, and create a new bucket. Choose a unique name, set the location, and configure any specific settings like access permissions.

Once you have your data file from FullStory, upload it to your GCS bucket. You can do this via the Google Cloud Console by clicking 'Upload Files' or using the `gsutil` command-line tool. Ensure that the file is accessible and note the file path as it will be needed in the next steps.

In the Google Cloud Console, go to BigQuery and create a new dataset to store your data. Within this dataset, define a table schema that matches the structure of your exported FullStory data. The schema must include field names and data types that correspond to your data file.

Use a BigQuery Load job to transfer data from the GCS bucket to your BigQuery table. In the BigQuery console, select your dataset and choose 'Create Table.' Select 'Google Cloud Storage' as the source, specify the file path from your GCS bucket, configure the file format (JSON/CSV), and map it to the table schema you defined.

After loading the data, verify its integrity and accuracy. Run a few queries in BigQuery to ensure that the data has been imported correctly. Check for any discrepancies or errors that might have occurred during the upload process.

If you need to perform this data transfer regularly, consider automating the process using Google Cloud's tools. You can write a script that uses the FullStory API, uploads data to GCS, and runs a BigQuery load job. This can be scheduled using Google Cloud Functions or Google Cloud Scheduler to automate the workflow.

Following these steps will allow you to move data from FullStory to BigQuery effectively without relying on third-party connectors or integrations.