Advent of data

#01

MLOps isn’t DevOps for ML!

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Abi Aryan

#02

Using Airflow the wrong way

—

Christophe Blefari

#03

Modern Data Modeling: Start with the End?

—

Brice Luu

#04

The go-to guide for how to work with data people

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Benoit Pimpaud

#05

pip install data_team

—

Andrew Philippick

#06

How to make data governance a team sport

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Maggie Hays

#07

Embedded machine learning

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Leo Bourrel

#08

Rust for Data Engineering—what's the hype about? 🦀

—

Patrik Liu Tran

Sara Landfors

#09

A short guide to understanding geospatial metrics

—

Ramiro Aznar

#10

GPT-3 is eating the world!

—

Anas El Khaloui

#11

Terraforming Snowflake a brief look

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Branislav Machava

#12

🗺 Driving time to the nearest Emergency Room (France)

—

Mickael Marchese

#13

Is tourism back to its pre-COVID-crisis level?

—

Marie Lefevre

#14

Build a pipeline using Elastic stack

—

Liju Thomas

#15

What’s the big deal with streaming ETL?

—

Benjamin Djidi

#16

How to get Started with Data And Help Your Community

—

Bryan Corder

#17

Eat, Sleep, Poop: Creating a Baby Dashboard

—

Chas DeVeas

#18

The art of Data Storytelling

—

Romain R

#19

Data folks, stop writing slides for your C-levels!

—

Thibaut Collette

#20

How to improve the happiness of your data team

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Benedetta Cittadin

#21

Make Data Science Great and Glorious Again

—

Mathieu Besson

#22

How to use Spark and Pandas to prepare big data

—

Tommy DANGerous

#23

How to start to Data Scraping for Beginners

—

Thet Paing

#24

Data Anarchy

—

Majdi Toumi

#bonus

Bonus: Podcast episode with DataGen 🎁

—

Christophe Blefari