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

Data management, already of significant importance for operational and business intelligence purposes, has taken on a new level of priority for businesses and organizations as the wave of AI ...

The acquisition could help enterprises push analytics and AI projects into production faster while acting as the missing ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Trifacta, the global leader in data preparation, today announced a major expansion to its platform to deliver the industry’s first data engineering cloud. In keeping ...

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 ...

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 ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

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 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 Gordon Robinson in his ...