November 2017
Beginner to intermediate
290 pages
7h 34m
English
Classic ETL (short for, Extract, Transform, Load) applications are common in the big data world. They typically extract data from one or more external sources, such as message queues, databases, and file systems; process them to perform some common operations, such as filtering, transforming, and enriching; and finally load the results to some data sinks, such as relational databases, files, or NoSQL datastores, where analytics queries can be run against them.
In this chapter, we will examine a sample ETL application in detail and illustrate how easy it is to construct such a pipeline using Apex and its library of operators, along with the built-in support for the SQL query planning and optimizing engine, ...
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