A new managed pipeline layer that lets data platform teams use Apache Iceberg without building a custom platform SAN ...

A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...

Overview Serverless analytics removes the complexity of infrastructure in big data workloads.Scalable Spark and Hive jobs without cluster management with Amazon ...

Artificial intelligence is evolving faster than most organizations can keep up with, and I’ve seen teams make the same mistake repeatedly: focusing on which large language model (LLM) to deploy, while ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

A startup called Ardent AI Labs Inc. says data engineering is the next major discipline in line for “agentic” automation after getting $2.15 million in a pre-seed funding round. The money comes from ...

There’s a reason that companies are leveraging the power of data everywhere they can. In fact, data is predicted to be part of “every decision, interaction and process,” by 2025, according to a ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Bogdan Raduta in his role as ...

In this special guest feature, Sean Knapp, Founder and CEO of Ascend, discusses how automation can greatly reduce a data engineering team’s time spent in orchestration through the enablement of ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...