Harsh Varshney, an engineer at Google, explains the biggest changes he's seen since the explosion of generative AI and his ...

Companies continue to search for the data-savvy talent they require, but evidence suggests some managers might be looking in the wrong places.

Data engineering refers to the process of creating systems for collecting, storing and analysing large amounts of data.

Data engineers and data scientists work together to elicit insights from big data to optimise organisational performance.

Feature engineering is the holy grail of data science and the most critical step that determines the quality of AI/ML outcomes. Irrespective of the algorithm used, feature engineering drives model ...

Leaders should better understand DBaaS offerings in order to fully embrace the potential for the role evolution of DBA to data engineer.

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...