Advent of data

2022
#01

MLOps isn’t DevOps for ML!

β€”

Abi Aryan

#02

Using Airflow the wrong way

β€”

Christophe Blefari

#03

Modern Data Modeling: Start with the End?

β€”

Brice Luu

#04

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

β€”

Benoit Pimpaud

#05

pip install data_team

β€”

Andrew Philippick

#06

How to make data governance a team sport

β€”

Maggie Hays

#07

Embedded machine learning

β€”

Leo Bourrel

#08

Rust for Data Engineeringβ€”what's the hype about? πŸ¦€

β€”

Patrik Liu Tran

Sara Landfors

#09

A short guide to understanding geospatial metrics

β€”

Ramiro Aznar

#10

GPT-3 is eating the world!

β€”

Anas El Khaloui

#11

Terraforming Snowflake a brief look

β€”

Branislav Machava

#12

πŸ—Ί Driving time to the nearest Emergency Room (France)

β€”

Mickael Marchese

#13

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

β€”

Marie Lefevre

#14

Build a pipeline using ElasticΒ stack

β€”

Liju Thomas

#15

What’s the big deal with streaming ETL?

β€”

Benjamin Djidi

#16

How to get Started with Data And Help Your Community

β€”

Bryan Corder

#17

Eat, Sleep, Poop: Creating a Baby Dashboard

β€”

Chas DeVeas

#18

The art of Data Storytelling

β€”

Romain R

#19

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

β€”

Thibaut Collette

#20

How to improve the happiness of your data team

β€”

Benedetta Cittadin

#21

Make Data Science Great and Glorious Again

β€”

Mathieu Besson

#22

How to use Spark and Pandas to prepare big data

β€”

Tommy DANGerous

#23

How to start to Data Scraping for Beginners

β€”

Thet Paing

#24

Data Anarchy

β€”

Majdi Toumi

#bonus

Bonus: Podcast episode with DataGen 🎁

β€”

Christophe Blefari