Christophe Blefari

APRIL 8, 2023

Simon started a multipart guide about data modeling. In comparison to the dimensional modeling it uses entities instead of facts. Which is easier to conceptually understand but also to use in machine learning. Which is easier to conceptually understand but also to use in machine learning. I hope he will fill the gaps.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

Simon started a multipart guide about data modeling. In comparison to the dimensional modeling it uses entities instead of facts. Which is easier to conceptually understand but also to use in machine learning. Which is easier to conceptually understand but also to use in machine learning. I hope he will fill the gaps.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Towards Data Science

AUGUST 19, 2023

I began talking with data analysts who solved business problems every day using data. By asking for data analytics projects, I learned how to use dbt and further developed my Python skills. Analytics engineering is way more customer-oriented because you are using your customers’ data to answer key business questions.

Data Engineering 85

Data Engineering Data Engineer Engineering SQL 85

dbt Developer Hub

MARCH 28, 2023

Editor's note—this post assumes intermediate knowledge of Jinja and macros development in dbt. For an introduction to Jinja in dbt check out the documentation and the free self-serve course on Jinja, Macros, Pacakages. Jinja brings a lot of power to dbt, allowing us to use ref() , source() , conditional code, and macros.

Coding 52

Coding Python Database Programming 52

Marc Lamberti

FEBRUARY 21, 2022

Use Case Why might you need dynamic DAGs? The example we use is quite easy, but imagine that you have a lot of tasks with many different inputs. ultimately it is a more reliable method If you run Airflow in production, I would definitely advise you to use this method. So, what is Jinja? That’s the beauty of Jinja.

Python 130

Python Metadata Coding Process 130

Christophe Blefari

DECEMBER 19, 2022

This article will be written like a guide that aim to be exhaustive by listing all the possible solutions but if you feel I missed something do not hesitate to ping me. 💡 This is a big guide, do not hesitate to use the table of content to jump to the interesting parts. We will also cover what it means to manage dbt 1.

Management 130

Management Pipeline-centric Database-centric SQL 130

dbt Developer Hub

JUNE 19, 2020

If you’ve been using dbt for over a year, your project is out-of-date. team have conducted seven audits for clients who have been using dbt for a minimum of 2 months. Do you use post-hooks to grant permissions to other transformers and BI users? Are you using YAML selectors? This is natural. Warehouses change.

Project 40

Project BI SQL Utilities 40

phData: Data Engineering

JANUARY 3, 2022

You can read the full guide without giving us your email — keep scrolling !) If you have hundreds of thousands of users using a variety of products, you need more tooling and processes at your disposal that enables a thoughtful and scalable approach. How do I know where this data came from or how it’s being used?

IT 52

IT AWS Software Engineer Software Engineering 52