Spark

Combine the power of Apache Spark and Python to build effective big data applications

Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorial

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-time

Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API

Speed up the design and implementation of deep learning solutions using Apache Spark

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

No need to spend hours ploughing through endless data - let Spark, one of the fastest big data processing engines available, do the hard work for you.

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.

Explore the potential of Apache Spark and its ecosystem through real-world applications

A solution-based guide to put your deep learning models into production with the power of Apache Spark

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework

Simplify machine learning model implementations with Spark