Dbt Libraries

8 Components & Libraries

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Dbt Libraries

do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

Cheers! Yes, the project will remain available for use, but please be aware that no new updates or security patches will be provided moving forward. Unfortunately, none that we are aware of. We want …

Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

Currently we support the following databases and data warehouses For connecting and loading all your tooling data into a data warehouse, we are integrating with Airbyte connectors. For everything rel…

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

dbt + Metabase integration

If dbt is your source of truth for database schemas and you use Metabase as your analytics tool, dbt-metabase can propagate table relationships, model and column descriptions and semantic types (e.g.…

CLI tool for dbt users to simplify creation of staging models (yml and sql) files

dbt-coves generates dbt sources, staging models and property(yml) files by analyzing information from the data warehouse and creating the necessary files (sql and yml). Finally, dbt-coves includes fu…

A collection of Airflow operators, hooks, and utilities to elevate dbt to a first-class citizen of Airflow.

An Airflow environment using version 2.2 or later. Running Python 3.8 or later in your Airflow environment. Currently, we support the following remote storages: Tasks don’t pass information to each o…

Containerized end-to-end analytics of Spotify data using Python, dbt, Postgres, and Metabase

In this project, we will be analyzing our listening history, top tracks & artists, and genres from Spotify. Here are the tools that we will be using: The diagram below illustrates the systems des…

Example repository showing how to build a data platform with Prefect, dbt and Snowflake

Example repository showing how to leverage Prefect, dbt and Snowflake together to build a data platform. This project includes automation to make it easy to use this repositor as a template to get st…

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