Data Engineering Articles

Tatum Hunter

Updated on March 15, 2023

Product development is linear. Data science is not. Here’s how to use that to your team’s advantage.

Bushra Anjum

Updated on March 15, 2023

As you search for a data scientist, determine which will provide the most value to your company right now.

Farah Kim

Updated on March 15, 2023

Data analysts should work with data to derive insights for a business, but too often they spend most of their time on prepwork. Here’s how you can fix that problem.

Stephen Gossett

Updated on March 15, 2023

It’s all about auditing.

Joe Gaska

Updated on March 15, 2023

The methodology tames unruly pipelines in order to increase the value of your data — so you can adapt faster to business changes.

Zack Kertcher

Updated on March 15, 2023

Data scientists can’t rely only on assumptions, models, and numbers to understand the choices users make.

Sara A. Metwalli

Updated on March 15, 2023

As a data scientist, you may be able to get away without using linear algebra — but not for long. Here’s how linear algebra can improve your machine learning, computer vision and natural language processing.

Tammy Xu

Updated on March 15, 2023

It can be frustrating, but it’s rewarding too.

Kerry Halladay

Updated on March 15, 2023

From zoology and physics to designing algorithms.

Ram Nadella

Updated on March 15, 2023

Applying some software engineering principles to our data science pipeline led to great results. Here’s what we learned.