Spark

Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye!

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

Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products

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

Advanced analytics on your Big Data with latest Apache Spark 2.x

Create scalable machine learning applications to power a modern data-driven business using Spark 2.x

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

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

Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics

Discover everything you need to build robust machine learning applications with Spark 2.0

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

Frank Kane’s hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster.

Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects.