November 2025
Beginner to intermediate
336 pages
7h 48m
English
book
SQL for Data Analytics - Fourth Edition
by Jun Shan, Haibin Li, Matt Goldwasser, Upom Malik, Benjamin Johnston
Content preview from SQL for Data Analytics - Fourth Edition
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12
Advanced Data Types: Date, Text, and Geospatial
So far, every operation you have done has been based on normal numeric or text calculations. However, certain data types follow their own computing rules. For example, adding 1 to 31 gives you 32, but adding 1 day to January 31st will yield February 1st, not January 32nd. The computing rules of the date/time are different from the rules of normal numbers, so are its storage and display.
Equally important is the text processing power of SQL. Human activities generate textual data every moment. As such, businesses must be able to cleanse and analyze textual data for insights, such as extracting key information, performing transformations, or summarizing large bodies of text. All these require ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.