Hands-On Big Data Analytics with PySpark

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs

Key Features

• Work with large amounts of agile data using distributed datasets and in-memory caching
• Source data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3
• Employ the easy-to-use PySpark API to deploy big data Analytics for pro...