Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required …
Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scaleKey FeaturesDiscover how …
Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0About This BookLearn why …
Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book …
Written by the core Optimus team, this comprehensive guide will help you to understand how Optimus improves the whole data …
Migrate from pandas and scikit-learn to PySpark to handle vast amounts of data and achieve faster data processing time. This …
