Christophe Oudar
@Kayrnt
Followers
400
Following
373
Media
23
Statuses
740
(Principal) Software (Data) engineer. Backend, AI & BigData at @Teads and a bit of OpenSource on data / mobile projects. blog: https://t.co/oxO7h63FdH
Montpellier, France
Joined October 2010
Past Years in Data Engineering and Current Trends (2025 Edition - Part 2)
0
0
0
Past years data engineering and current trends (2025 edition)
0
0
0
I just published dbt Labs’ Developer Day: What They Announced and What They Left Unsaid
0
0
0
We are pleased to announce the closing of our merger and the launch of our combined company, which will operate under the name Teads.
2
8
26
I just published dbt-bigquery-monitoring: Monitoring BigQuery compute and storage with dbt
link.medium.com
An introduction to the dbt package designed to help you with BigQuery monitoring
0
0
1
I just published Microbatch on dbt?
link.medium.com
The dbt Labs team has recently initiated a discussion about providing a standard way to work with batchable workloads. This is an excellent…
0
0
0
Don't hesitate to share your thoughts as I'm eager for some feedbacks regarding that approach 👀
0
0
0
6/7 Curious to learn more? Check out the full article here: https://t.co/9QjdIjROuh
1
0
0
5/7 Whether you're a data architect, engineer, or just a data enthusiast, this article offers valuable insights for streamlining your data operations.
1
0
0
4/7 Key highlights: - Pros and cons of different reference data access methods - How SQLMesh addresses cross-dialect SQL challenges - The potential of semantic layers as an alternative to views
1
0
0
3/7 In my latest article, I explore the challenges and solutions for managing reference data in domain-driven development. I examine various approaches, with a special focus on SQLMesh - a promising tool that's shaking up the field.
1
0
0
2/7 Over the past months, I researched opportunities to improve ways of working with reference data across 3 environments: - RDMS (Your regular OLTP database where reference data sit and evolve) - a data lake - a data warehouse
1
0
0
1/7 🚢 Navigating the complex world of reference data management Ever struggled with maintaining consistent reference data across multiple environments? You're not alone.
1
0
0
I wonder if it's worth writing an article on it? I didn't find BigQuery related bucketing article and it's a bit tedious to troubleshoot and to write for first timer.
0
0
1