From Spark in Action, Second Edition by Jean Georges Perrin
This article explores consuming records in files with Spark.
From Spark in Action, Second Edition by Jean-Georges Perrin
This article teaches you how to perform an aggregation using Apache Spark. You first look at the definition of an aggregation. You may already know and use aggregations in your job, and this might be a reminder for you. If this is the case, you can safely skim through it: Apache Spark’s aggregations are standard. The second part of this section shows you how to transform a SQL aggregation statement to Spark.
From Spark in Action, Second Edition by Jean George Perrin
By Jean Georges Perrin
This is the third in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting a XML file.
By Jean Georges Perrin This is the second in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting a JSON file.
From Spark in Action, 2nd Ed. by Jean Georges Perrin
This is the first in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting data from CSV.
From Spark with Java by Jean Georges Perrin
In this article, you’ll learn what a dataframe is, how it’s organized, and about immutability.
From Fusion in Action by Guy Sperry
From Spark with Java by Jean Georges Perrin
You’ve probably seen a simple use-case where Spark ingests data from a CSV file, then performs a simple operation, and then stores the result in the database. In this article, you’re going to see what happened behind the scenes.
From Spark in Action, Second Edition by Jean-Georges Perrin
