March 2022
Beginner to intermediate
595 pages
12h 53m
English
In the last chapter, we looked at common patterns and techniques for harnessing the powerful core functionality available to us when transforming data using Spark SQL and the DataFrame APIs. While we certainly covered a lot of ground, we purposefully skipped over some of the more exciting capabilities available to us under the Spark SQL umbrella. Along that line, wouldn’t it seem to only make sense that we should be capable of connecting to and working directly with remote databases from the comfort ...
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