Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable.

AI projects stumble not because of flawed algorithms but because the underlying data pipelines are weak or chaotic.

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

The authors define the software engineer’s job as owning the lifecycle from data ingestion through transformation and serving (which is the delivery of data in its finished form).

The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

The Engineering Science MS with a focus in Data Science provides students with a core foundation in big data and analysis by obtaining knowledge, expertise, and training in data collection and ...

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...

Data science's multidisciplinary approach for analyzing large amounts of data blends principles and practices from mathematics, statistics, business, artificial intelligence, and computer engineering.

A course on Applied Business Analytics will shed light on the disparities between big data, data analytics, and data science, highlighting their unique characteristics and applications.