What is dbt Cloud and its features?
dbt Cloud is a managed service that runs dbt Core in a hosted environment with a browser-based interface. It enables data analysts to develop, test, and deploy code changes to their data warehouse. It provides a stable environment for building and orchestrating dbt projects. The features of dbt Cloud include scheduling jobs, CI/CD, hosting documentation, monitoring, alerting, and an integrated development environment (IDE).
- Scheduling jobs: dbt Cloud has turnkey support for scheduling jobs, allowing users to automate their data workflows.
- CI/CD: dbt Cloud supports Continuous Integration and Continuous Deployment, facilitating seamless code changes and updates.
- Hosting documentation: dbt Cloud provides a platform for hosting documentation, making it easier for teams to access and share information.
- Monitoring: dbt Cloud includes monitoring features to track the performance and health of data workflows.
- Alerting: dbt Cloud has alerting capabilities to notify users about important events or issues in their data workflows.
How to set up dbt Cloud?
Setting up dbt Cloud requires a dbt Cloud account with administrator access. You can sign up on North American servers or contact dbt for international options. dbt recommends using modern web browsers like Chrome, Safari, Edge, and Firefox. The setup process involves creating a Google Cloud Platform (GCP) project, accessing sample data in a public dataset, connecting dbt Cloud to BigQuery, turning a sample query into a model in your dbt project, adding tests to your models, documenting your models, and scheduling a job to run.
- Create a Google Cloud Platform (GCP) project: This is the first step in setting up dbt Cloud. A GCP project provides a framework for your dbt Cloud setup.
- Access sample data in a public dataset: Sample data can be used to test your dbt Cloud setup and ensure it's working correctly.
- Connect dbt Cloud to BigQuery: This step involves linking your dbt Cloud account to BigQuery, a web service from Google that is used for handling and analyzing big data.
- Turn a sample query into a model in your dbt project: This involves transforming a sample query into a model, which is a representation of your data.
- Schedule a job to run: Once everything is set up, you can schedule a job to run in dbt Cloud. This could be a data analysis task or any other job related to your data.
What is the recommended browser for dbt Cloud?
dbt recommends using modern web browsers like Chrome, Safari, Edge, and Firefox for dbt Cloud. These browsers are known for their speed, security, and compatibility with the latest web technologies, making them suitable for a cloud-based service like dbt Cloud.
What is the role of a dbt Cloud account administrator?
An administrator of a dbt Cloud account has the highest level of access and control over the account. They can manage users, permissions, and settings, as well as perform all tasks related to the setup and operation of dbt Cloud. This includes creating a Google Cloud Platform (GCP) project, accessing sample data, connecting dbt Cloud to BigQuery, creating models, adding tests, documenting models, and scheduling jobs to run.
What are the international options for dbt Cloud?
For international options, dbt recommends contacting them directly. While they offer sign up on North American servers, they may have different options or procedures for users in other regions. It's best to reach out to dbt for the most accurate and up-to-date information regarding international usage of dbt Cloud.
