From Azure Data Engineering by Richard Nuckolls
This article delves into Azure’s tools for data engineering and why you should consider using them.
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 Mastering Large Datasets with Python by J.T. Wolohan
This article covers
· Using map to do complex data transformations
· Chaining together small functions into pipelines
· Applying these pipelines in parallel on large datasets
From Fighting Churn with Data by Carl Gold
From Mastering Large Datasets by JT Wolohan
This article explores using the map function creatively in a data project.
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.
