Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md #10324

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 11 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,8 +9,16 @@

**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt Core is an open-source tool that enables data teams to transform data using analytics engineering best practices.

![architecture](https://github.com/dbt-labs/dbt-core/blob/202cb7e51e218c7b29eb3b11ad058bd56b7739de/etc/dbt-transform.png)

## Getting started
This package installs dbt Core on the command line. Learn more with the [quickstart for dbt Core](https://docs.getdbt.com/quickstarts/codespace).

- [Install dbt Core](https://docs.getdbt.com/docs/get-started/installation)
- Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)

## Understanding dbt

Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.
Expand All @@ -19,10 +27,10 @@ These select statements, or "models", form a dbt project. Models frequently buil

![dbt dag](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-dag.png)

## Getting started
Use dbt in the following ways:
- Install dbt Core locally in your environment to transform data. dbt Core is suitable for users who prefer to manually set up dbt through a CLI and locally maintain it.

- [Install dbt Core](https://docs.getdbt.com/docs/get-started/installation) or explore the [dbt Cloud CLI](https://docs.getdbt.com/docs/cloud/cloud-cli-installation), a command-line interface powered by [dbt Cloud](https://docs.getdbt.com/docs/cloud/about-cloud/dbt-cloud-features) that enhances collaboration.
- Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)
- Use [dbt Cloud](https://docs.getdbt.com/docs/cloud/about-cloud/dbt-cloud-features), a cloud-based environment that offers the fastest, most reliable, and scalable way to deploy dbt. Develop using the [dbt Cloud CLI](https://docs.getdbt.com/docs/cloud/cloud-cli-installation) or [browser-based IDE](https://www.getdbt.com/resources/webinars/dbt-cloud-demos-with-experts) to test, schedule, and investigate data models in a unified web-based UI.

## Join the dbt Community

Expand Down
Loading