Data scientists spend 80% of their time convert data into a usable form. There are many tools out there to help and I will go over some of the most interesting.

Data Wrangling Versus Data Engineering Data wrangling is the process data scientists use to take the one-time snapshot of data to do an extract, transform and load into a one-time analysis data set.

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

Data science isn't new, but the demand for quality data has exploded recently. This isn't a fad or a rebranding, it's an evolution.

A startup called Numbers Station is applying the generative power of pre-trained foundation models such as GPT-4 to help with data wrangling. The company, which is based on research conducted at the ...

Why businesses must rethink their data lakesIssued by PBT GroupJohannesburg, 18 Aug 2025 Why businesses must rethink their data lakes. (image: PBT Group) While businesses are racing to implement ...