Data Engineering Articles

Margo Steines

Updated on February 20, 2025

From the fintech to healthcare industries, these companies need data engineers.

Mamdouh Refaat

Updated on February 12, 2025

Overfitting is when a machine learning model performs well with its training data but performs poorly with new data. Here’s an in-depth review of what can lead to overfitting, how it differs from underfitting and methods for detecting and avoiding it.

Faisal Hoque

Updated on February 03, 2025

How do you know what kind of human/AI partnership is best for your company? Our expert offers his insight.

Sara A. Metwalli

Updated on November 15, 2024

Data science is a rapidly growing field. How do you know which job is the best fit for your skill set? From established roles like data scientist to more recent roles like AI ethics officer, here are some of the top data science positions on the market.

Mohamad Amzar

Updated on November 06, 2024

AWS Athena is a serverless query service to access and analyze data stored in AWS S3. Here’s how to query a CSV file stored in AWS S3 using Athena.

Shanti Greene and Benjamin Weinert

Updated on October 16, 2024

Navigating LLMs can be daunting. Here are some evaluation strategies designed specifically for tech practitioners and business leaders.

Ted Lango

Updated on October 16, 2024

Without good data, AI is useless. Our expert explains how to make sure your data will support your AI plans.

Sara A. Metwalli

Updated on October 15, 2024

Landing a data science job isn’t easy, but these portfolio projects can increase your chances.

Laurynas Gruzinskas

Updated on August 12, 2024

Our experts demystifies how large language models can elevate data engineering, especially in the B2B sphere.

Kevin Epstein

Updated on August 12, 2024

Machine learning projects are probably different from what you’re used to. Here’s how to do them right.