July 2021
Beginner to intermediate
384 pages
9h 51m
English
Content preview from Data Lakes For Dummies
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Chapter 12
Building Data Lakes in Amazon Web Services
IN THIS CHAPTER
Inventorying Amazon tools and services for data lakes
Mapping your conceptual data lake architecture to Amazon components
Assembling Amazon components for your data lake pipelines
Building your data lake in Amazon Web Services (AWS) can sometimes feel like hacking your way through a jungle. (Get it? Amazon? A jungle?) You have dozens of services that you can stitch together for ingesting and then storing your data, as well as transforming and then moving your data along pipelines and then finally consuming data to drive decisions and actions.
Fortunately, you can follow some basic patterns with AWS that will help guide your pathway to the data lake if you elect to go down the AWS path.
The Elite Eight: Identifying the Essential Amazon Services
If you follow American college basketball, the term March Madness is familiar to you. The (supposedly) best 64 teams begin a tournament that ends up with that season’s U.S. college basketball champion winning the final game.
Along the way, after the first couple of rounds are played, the subsequent rounds are given catchy nicknames, beginning with the “Sweet 16.” Teams ...
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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.