When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured might get bandied about. These are classifications of data that are now important to ...

It is certainly easy, when writing code to accomplish some data science task, to start taking the data on face value. In my mind, the data can simply become what they claim to be. But it’s good to ...

While a career in technology may naturally lead you to consider studying engineering or computer science, in today’s world of predictive marketing, cloud computing and globalized thinking, jobs ...

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization. Big data is here, and it’s getting bigger by the day. With ...

There’s a really simple way to understand the difference between data and information. When we understand the primary function of the item we are looking at, we quickly see the distinction between the ...

The two terms data analysis and data visualization seem to have become synonymous in everyday language in the wider data community. Numerous job adverts focus on data visualization skills while not ...

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 ...