AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data systems are becomin ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

The Cloud ETL (Extract, Transform, Load) Tool Market was valued at USD 2.8 billion in 2024 and is projected to reach USD 10.5 billion by 2033, exhibiting a CAGR of 16.4% from 2026 to 2033. This ...

As a data engineering leader with over 15 years of experience designing and deploying large-scale data architectures across industries, I’ve seen countless AI projects stumble, not because of flawed ...

A startup called TensorStax says it’s looking to bring artificial intelligence-powered automation to the unyielding world of data engineering after raising $5 million in seed funding. Today’s round ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

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 Alan Jacobson in his role as ...

Covers key topics like data wrangling, database schema, and developing ETL pipelines. He also details several data engineering tools like Hive, Hadoop, Spark, and Airflow. The courses offered in this ...