Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look u

Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems rel

Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing, machine learning, and anal

Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required s

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools