Spark

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

Delve into 7 short lessons and daily exercises carefully chosen to get you started with Apache Spark

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

Handle high volumes of data at high speed. Architect and implement an end-to-end data streaming pipeline

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.

Add Spark Streaming to your data science and machine learning Python projects

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

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

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark

Learn Apache Spark and Scala by 12+ hands-on examples of analyzing big data

Learn to analyze large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.

Building and deploying data-intensive applications at scale using Python and Apache Spark

Simplify machine learning model implementations with Spark

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