Skip to content

Commit

Permalink
Integrate / dbt: Refactor to CrateDB Guide
Browse files Browse the repository at this point in the history
  • Loading branch information
amotl committed Nov 26, 2024
1 parent 5c4f358 commit 6473568
Showing 1 changed file with 0 additions and 58 deletions.
58 changes: 0 additions & 58 deletions docs/integrate/etl.md
Original file line number Diff line number Diff line change
Expand Up @@ -158,62 +158,6 @@ worldwide across every industry.
![](https://github.com/crate/crate-clients-tools/assets/453543/ccfa4ac7-0d60-432f-b952-2b50789cd325){h=120px}


## dbt

```{div}
:style: "float: right"
[![](https://www.getdbt.com/ui/img/logos/dbt-logo.svg){w=180px}](https://www.getdbt.com/)
```

[dbt] is an open source tool for transforming data in data warehouses using Python and
SQL. It is an SQL-first transformation workflow platform that lets teams quickly and
collaboratively deploy analytics code following software engineering best practices
like modularity, portability, CI/CD, and documentation.

> dbt enables data analysts and engineers to transform their data using the same
> practices that software engineers use to build applications.
With dbt, anyone on your data team can safely contribute to production-grade data
pipelines.

The idea is that data engineers make source data available to an environment where
dbt projects run, for example with [Debezium](#debezium) or with [Airflow](#apache-airflow).
Afterwards, data analysts can run their dbt projects against this data to produce models
(tables and views) that can be used with a number of [BI tools](#bi-tools).

![](https://www.getdbt.com/ui/img/products/what-is-dbt-main-image.png){h=120px}
![](https://www.getdbt.com/ui/img/products/what-is-dbt-deploy.svg){h=120px}
![](https://www.getdbt.com/ui/img/products/what-is-dbt-eliminate-silos.svg){h=120px}

:::{dropdown} **Managed dbt**
```{div}
:style: "float: right"
[![](https://www.getdbt.com/ui/img/hero-dbt-cloud-features-2x5.png){w=180px}](https://www.getdbt.com/product/dbt-cloud/)
```

With [dbt Cloud], you can ditch time-consuming setup, and the struggles
of scaling your data production. dbt Cloud is a full-suite service that is built for
scale.

- Start building data products quickly using the dbt Cloud IDE with integrated security
and governance controls.
- Schedule, deploy, and monitor your data products using the scalable and reliable dbt
Cloud Scheduler.
- Help your data teams discover and reuse data products using hosted docs or integrations
with the powerful Discovery API.
- Extend your workflow beyond dbt Cloud with 30+ seamless integrations covering a range
of use cases across the Modern Data Stack, from observability and data quality to
visualization, reverse ETL, and much more.
- Ship more high-quality data and scale your development like the 1000s of companies that
use dbt Cloud. They’ve used its convenient and collaboration-friendly interface to
eliminate the bottlenecks that keep growth limited.

```{div}
:style: "clear: both"
```
:::


## Debezium

```{div}
Expand Down Expand Up @@ -374,8 +318,6 @@ an SSIS Catalog database to store, run, and manage packages.
[CrateDB and Apache Kafka]: https://cratedb.com/integrations/cratedb-and-kafka
[CrateDB and Kestra]: https://cratedb.com/integrations/cratedb-and-kestra
[CrateDB and Node-RED]: https://cratedb.com/integrations/cratedb-and-node-red
[dbt]: https://www.getdbt.com/
[dbt Cloud]: https://www.getdbt.com/product/dbt-cloud/
[Debezium]: https://debezium.io/
[DoubleCloud Managed Service for Apache Kafka]: https://double.cloud/services/managed-kafka/
[FlowFuse]: https://flowfuse.com/
Expand Down

0 comments on commit 6473568

Please sign in to comment.