Relational Database Management Systems were hardly ever used at Google to store logs data. But SQL as a data exploration language has been becoming increasingly popular over the last years. In fact, nowadays the fast majority of data analysis jobs at Google are expressed by SQL queries. In this talk I give a brief history of data storage and exploration techniques deployed at Google and describe the current state of the art. I furthermore explore why SQL became so popular and illustrate my main conclusion: SQL‘s simplicity and conciseness rules over all other (currently available) alternatives.
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