Getting Started with BigQuery and GoodData

The GoodData platform is a cloud-based end-to-end analytics tool for capturing and loading data from numerous and diverse data sources and then enabling users to build metrics, create reports and dashboards.

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Google BigQuery is one of the supported data sources and you can easily integrate it into your GoodData workspace.

This integration does not use your BigQuery resources for computation. Instead, GoodData synchronizes data from BigQuery based on a user-defined schedule and serves as the last-mile analytics platform.

The following diagram illustrates the concept of BigQuery-GoodData integration. Your BigQuery data are loaded by GoodData Automated Data Distribution (ADD) into your workspace for processing by the Logical Data Model (LDM). Then you will use the processed data to create insights.

The following tutorials will guide you through the process of completing BigQuery-GoodData setup and using GoodData. To get familiar with the processes and user interface, we recommend that you start with loading our sample data first and then using them to build your first insights.

Load Sample Data from BigQuery into GoodData

Integrate GoodData and your existing BigQuery project, load our sample data from BigQuery into your GoodData workspace, and create your first insights.

Load Your Own BigQuery Data into GoodData Workspace

Integrate your BigQuery project with a GoodData workspace and create a unique logical data model to work with your own data.

Invite Users to Your Workspace

The GoodData platform supports multiple user accounts which you can easily control for individual workspaces.

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