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

Data engineers should be working faster than ever. AI-powered tools promise to automate pipeline optimization, accelerate data integration and handle the repetitive grunt work that has defined the ...

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 ...

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 ...

Data integration platform provider Qlik Tech International AB this week debuted a new product called the Qlik Talend Cloud, saying it’s designed to deliver high-quality, trusted data to artificial ...

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 ...