Data Engineering Articles

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Aleksandras Šulženko Aleksandras Šulženko
Updated on June 14, 2023

How Governments Can Use Alternative Data for Policymaking

The increasing digitization of society means a wealth of public data exists beyond traditional sources. Our expert argues that governments can use this data to make faster, more flexible policy decisions.

Image: Shutterstock / Built In
Stephen Gossett Stephen Gossett
Updated on May 15, 2023

Data Scientist vs. Data Engineer: What’s the Difference and How They Work Together

Here’s what to know about a data scientist vs. a data engineer — and how they work together.

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Cristiano Breuel Cristiano Breuel
Updated on May 15, 2023

MLOps: Machine Learning as an Engineering Discipline

As machine learning matures from research to applied business solution, we need to improve ML’s operation processes.

Image: Shutterstock / Built In
Tatum Hunter Tatum Hunter
Updated on March 15, 2023

How Incorporating Data Science Into Engineering Workflows Helps Product Development

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

Rahul Agarwal Rahul Agarwal
Updated on March 15, 2023

5 Essential Business-Oriented Critical Thinking Skills for Data Science

Data science requires a range of sophisticated technical skills. Don’t let that expertise get in the way of critical thinking, though, or you could end up doing more harm than good for your business partners.

Bushra Anjum Bushra Anjum
Updated on March 15, 2023

Should You Hire a Data Specialist or Data Generalist?

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

Farah Kim Farah Kim
Updated on March 15, 2023

Taking the Data Analyst Role Beyond ‘Data Janitorial Work’

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 Stephen Gossett
Updated on March 15, 2023

13 Tips for Quick, Accurate Data Wrangling

It’s all about auditing.

Joe Gaska Joe Gaska
Updated on March 15, 2023

DataOps Is Here to Stay. Here’s Why.

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

Zack Kertcher Zack Kertcher
Updated on March 15, 2023

Improve Your Insight by Mixing Qualitative Research With Data Science

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