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Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Custom state store providers for Apache Spark

Fundamentals of Spark with Python (using PySpark), code examples

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A Flexible and Powerful Parameter Server for large-scale machine learning

A simple Spark TDD example

Scala examples for learning to use Spark

C# and F# language binding and extensions to Apache Spark

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Real Time Analytics and Data Pipelines based on Spark Streaming

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

An open source framework for building data analytic applications.

A free tutorial for Apache Spark.

零基础学习spark，大数据学习

Jupyter magics and kernels for working with remote Spark clusters

This is an example of real time stream processing using Spark Streaming, Kafka & Elasticsearch.

Python Helper library for Jupyter Notebooks