Using Tumult Analytics on BigQuery

This guide explains how to use Tumult Analytics on BigQuery. We will guide you to getting a minimal example of a Tumult Analytics program running on BigQuery, then we will explain how to modify this program to work with custom parameters and custom libraries.

Following this topic guide requires your project to have access to the public preview of the stored procedures for Apache Spark. You can enroll in the preview by completing the enrollment form.

Throughout this topic guide, you must use the same region for all the objects we will create and use in Google Cloud Platform (GCP): BigQuery tables, Cloud Storage buckets, Artifact repositories, etc., must all reside in the same GCP region.

Let’s get started by setting up the environment in Google Cloud Platform here.

• GCP setup
• Introduction to BigQuery
• BigQuery inputs and outputs
• Calling Tumult Analytics from a BigQuery stored procedure
• Passing parameters to a stored procedure
• Creating a Docker image for GCP