The Case for a Data Science Lab

By Mark Sellors, Technical Architect – Mango Solutions As more and more Data Science moves from individuals working alone, with small data sets on their laptops, to more productionised, or analytically mature settings, an increasing number of restrictions are being placed on Data Scientists in the workplace. Perhaps, your organisation has standardised on a particular version of Python or R, or perhaps you’re using a limited subset of all available big data tools. This sort of standardisation can be incredibly empowering for the business. It ensures all analysts are working with a common set of tools and allows analyses to be run anywhere across the organisation It doesn’t matter if it’s a  laptop, server, or a large-scale cluster, Data Scientists and the wider business, can be safe in the knowledge…


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