In this video, Jean-Georges showcases how to use JHU data to predict new Covid-19 cases using Apache Spark.
From Spark in Action, Second Edition by Jean George Perrin
From Spark in Action, 2nd Ed. by Jean Georges Perrin
This is the last in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting a TXT file.
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 Spark in Action by Petar Zečević and Marko Bonaći.
When talking about Spark runtime architecture, we can distinguish the specifics of various cluster types from the typical Spark components shared by all. Here we describe typical Spark components that are the same regardless of the runtime mode you choose.