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 ...

AI has erased the old divide between customer experience and data infrastructure. Marketing and data engineering now function as one connected discipline. Historically, customer experience has ...

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 ...

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 ...