BigDataFr recommends: A beginner’s guide to big data terminology

[…] Data science can be confusing enough without all of the complicated lingo and jargon. For many, the terms NoSQL, DaaS and Neural Networking instill nothing more than the hesitant thought, “this sounds data-related.” It can be difficult to tell a mathematical term from a proper programming language or a dystopian sci-fi world. The first step to getting the most out of data science is understanding the most basic of terminology. That’s why we compiled a list of terms from all across the big data spectrum.

Algorithms: Mathematical formulas or statistical processes used to analyze data. These are used in software to process and analyze any input data.[…]

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By Hannah Augur
Source: dataconomy.com