Practical Apache Spark

Apache Spark Quick Start Guide: Quickly learn the art of writing efficient big data applications with Apache Spark

Fast Data Processing with Spark 2: Accelerate your data for rapid insight

High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark (Paperback)

Spark: The Definitive Guide: Big Data Processing Made Simple

Spark for Data Science: Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0

Pre-Owned Mastering Spark for Data Science (Paperback)

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Advanced Analytics with Pyspark - by Akash Tandon & Sandy Ryza & Uri Laserson & Sean Owen & Josh Wills (Paperback)

Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools (Paperback)

Apache Hadoop 3 Quick Start Guide: Learn about big data processing and analytics

Data Analytics with Spark Using Python

Exploring Hadoop Ecosystem (Volume 1): Batch Processing

Data Algorithms with Spark

Big Data: Principles and best practices of scalable realtime data systems

Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

Big Data: A Tutorial-Based Approach

Hadoop Operations: A Guide for Developers and Administrators

Stream Processing with Apache Flink - by Fabian Hueske & Vasiliki Kalavri (Paperback)

Learning Spark: Lightning-Fast Big Data Analysis - , Andy Konwinski - Online Manuals by eManualOnline

Apache Hive Handbook: Query, Analyze, and Optimize Big Data

Hadoop: Data Processing and Modelling: Data Processing and Modelling (Paperback)

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle

Practical Data Engineering with Apache Projects - by Dunith Danushka (Paperback)

Learning Spark: Lightning-Fast Big Data Analysis

Spark: The Definitive Guide: Big Data Processing Made Simple

Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling

Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark

Data Analytics with Hadoop: An Introduction for Data Scientists