# LearnAnalytics-SparkML

**Repository Path**: mirrors_Azure/LearnAnalytics-SparkML

## Basic Information

- **Project Name**: LearnAnalytics-SparkML
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-08
- **Last Updated**: 2026-03-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Spark with HDInsight - Enterprise Ready Machine Learning and Interactive Data Analysis at Scale

This repository contains the materials for the course entitled: _Spark with HDInsight - Enterprise Ready Machine Learning and Interactive Data Analysis at Scale_.

# For Instructors:

1. The Instructor-Resources directory contains useful scripts for redelivering this course.


## For Students:

1. The rendered course materials are available in the Student-Resources folder.
2. [Class Playlist](https://open.spotify.com/user/pakmanaz/playlist/02R6d9fLRwxI06EHcm2Mcs)
    * As your instructor, I'll also be your workshop dj. Feel free to make requests.

## Schedule

### Day One

+ Spark Fundamentals
+ Running Spark Applications on HDInsight and YARN
+ Spark SQL and the DataFrames and Datasets API

### Day Two

+ SparkML Pipelines
+ Tokenization and Text Featurization
+ `mmlspark`

### Day Three

1. R Server on Spark
2. GraphFrames & Structured Streaming
3. Hackathon

## Contributing

Contributions in any form are appreciated and encouraged! If you find errors, please submit an Issue or, for brownie/beer points, create a pull request with a fix!

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.