Hands-on tutorial with over 15 real-world examples for practical learning
Teaches how to set up and run Apache Spark on single systems or clusters for versatile deployment
Covers RDDs for distributed data processing, enabling efficient analysis of large datasets
Includes machine learning with Spark MLlib and real-time streaming using Spark Streaming
Explains network analysis with Spark GraphX for advanced data insights
Summarized by Shop
Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. Key Features
[*] Understand how Spark can be distributed across computing clusters