Data engineering refers to the process of creating systems for collecting, storing and analysing large amounts of data. The role has grown in popularity in recent years due to increasing digitisation ...

What’s the difference between a data engineer and a data analyst? Data isn’t much good without people who know how to collect it, shape it, and explain what it means. That’s where data engineers and ...

Data engineers and data scientists work together to elicit insights from big data to optimise organisational performance. Their end goal is similar, however, the distinction between the roles of data ...

A combination of education, on-the-job training, and a certificate in data science paved the way from health sciences to data engineering. Data engineering combines elements of software engineering ...

It’s always tempting to say that things were simple in the old days. But speak with any surviving COBOL or Fortran programmer, especially those who had to deal with punch cards or rotating drums, and ...

Organisations in Australia are looking more and more for data engineers and data scientists to help them make sense of their data and improve how they make business or run their businesses through the ...

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 ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weeklyu Developer Network written by Jesse Anderson in his role ...