Christophe Blefari

MARCH 1, 2023

This article is meant to be a resource hub in order to understand dbt basics and to help get started your dbt journey. When I write dbt, I often mean dbt Core. dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. First let's understand why dbt exists.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Towards Data Science

APRIL 5, 2023

A Guide to Maximize Your dbt Productivity in Visual Studio Code (Image from Unsplash ) If you are struggling to get VS Code and dbt to work well together, you are not alone. or higher and a virtual environment with dbt installed. Refer to the official documentation for this. A dbt project. Let’s dive in!

Coding 79

Coding SQL Python Data Science 79

phData: Data Engineering

JULY 12, 2022

In this blog post, we’ll take a look at how data has historically been modeled by both of these types of resources, introduce the concept of analyst engineering, and explain how dbt bridges the gap between traditional IT resources and business-oriented resources. How Do You Implement a Data Model with dbt? What Is Data Modeling?

Data Engineering 52

Data Engineering Data Engineer SQL Data 52

dbt Developer Hub

JUNE 19, 2020

If you’ve been using dbt for over a year, your project is out-of-date. New functionalities have been released. Over the last year, I and others on the Fishtown Analytics (now dbt Labs!) team have conducted seven audits for clients who have been using dbt for a minimum of 2 months. What happens when you dbt run ?

Project 40

Project BI SQL Utilities 40

dbt Developer Hub

NOVEMBER 28, 2021

Then I'll show you how I track engagement across Slack, GitHub, Docker Hub, and PyPI, using a warehouse built with BigQuery, dbt, OpenLineage and Superset. dbt seeds data from offline sources and performs necessary transformations on data after it's been loaded into BigQuery. In this post, I'll walk you through our stack and sources.

Raw Data 52

Raw Data Metadata Database Datasets 52