Awesome big data and advanced analytics resources for the Microsoft Azure Cloud
- General Resources
- Cortana Intelligence Suite
- Azure Cognitive Services
- Azure Data Factory
- Azure Data Lake
- Azure HDInsight
- Azure Machine Learning
- Azure SQL Data Warehouse
- Azure Stream Analytics
- Jupyter Notebooks
- Microsoft Bot Framework
- Microsoft Data Science VMs
- Microsoft Power BI
- Microsoft R Server
- Open Source ML Toolkits
- Technical Certifications
- Free Azure Subscription
- Interactive Azure Platform Big Picture
- Azure Pricing
- Azure Blog
- Azure Forums
- Azure Updates
- Azure Learning Paths
- Azure Code Samples
- Azure Quickstart Templates
- Azure Readiness GitHub Repos
- Microsoft Virtual Academy
- Free eBooks from Microsoft Press
- Learn Analytics @ Microsoft
- edX.org Courses on Azure
- AWS to Azure Translation Guide
- Azure Certification: Where to Start?
- Advanced Analytics Partner Solution Showcase
A fully managed big data and advanced analytics suite
A collection of APIs to tap into vision, speech, language, knowledge, and search technologies
- Overview
- Documentation
- List of APIs
- SDKs & Samples
- Utilities for Microsoft Translator
- Intelligent Kiosk Sample
- Tutorial: Build Mobile App with Chat
A globally deployed data movement, orchestration, scheduling, and monitoring service
A distributed storage and analytics service that scales dynamically
- Overview
- Blog
- GitHub Repo
- Data Lake Store Documentation
- Data Lake Store Learning Path
- Data Lake Analytics Documentation
- Data Lake Analytics Learning Path
- Video Series
- Introducing U-SQL
- U-SQL Language Reference
- AdlCopy Tool
- Tools for Visual Studio
A managed Apache Hadoop, Spark, Storm, HBase, and R cloud service
- Overview
- Blog
- Documentation
- Learning Path
- Apache Hive
- Apache Pig
- Apache Storm
- Apache Spark
- Apache HBase
- Apache Solr
- Apache Giraph
- Microsoft R Server
- Hue
- Free eBook on HDInsight
- edX.org XSeries Program
- Tools for Visual Studio
An environment to build, test, and deploy predictive analytics models
- Overview
- Documentation
- Frequently Asked Questions
- How to Choose Algorithms for AzureML
- Re-train a Machine Learning Model
- Experiments Gallery
- Templates Gallery
- R Client
- Python Client
- PowerShell Commandlet Library
- Hands-On Lab
- Video Series: Data Science for Beginners
- Video Series: Hands-On with AzureML
- Free eBook on AzureML
An elastic data warehouse as a service with enterprise-class features
- Overview
- Blog
- Documentation
- PolyBase Guide
- sqlcmd Utility
- PowerShell Commandlets & REST APIs
- Query from Visual Studio
A fully managed, SQL-based, real-time event processing engine
A web application to create documents containing live code, visualizations and explanatory text
A framework to build and deploy high-quality bots for conversation experiences
- Overview
- Blog
- Documentation
- List of Resources
- Video: Getting Started with Bots
- QnA Maker
- Language Understanding Intelligent Service (LUIS)
Azure VM images pre-installed and configured with popular tools for analytics and machine learning
- Provision the Windows Data Science Virtual Machine
- Provision the Linux Data Science Virtual Machine
- Ten things you can do on the Data science Virtual Machine
- Data science on the Linux Data Science Virtual Machine
- Team Data Science Process
A suite of business analytics tools to analyze data, create visualizations and share insights
- Overview
- Blog
- Documentation
- Guided Learning
- edX.org Course
- Custom Visuals Gallery
- Power BI Service
- Power BI Embedded
- Power BI Desktop
A scalable and deployable enterprise-class R analytics platform
- Overview
- Documentation
- Revolution Analytics Blog
- Diving into Data Analysis in Microsoft R
- ScaleR
- R Client
- R Server on Hadoop
- R Server on Spark
- R Server on HDInsight
- SQL Server R Services
- Operationalize R Analytics (DeployR)
- Microsoft R Application Network
- Revolution Analytics GitHub Repos
- A Collection of Simple Demos
- Video Series: Introduction to Microsoft R
- Microsoft R for Data Science Workshop
- Tools for Visual Studio
- Microsoft Cognitive Toolkit - (aka CNTK) Deep learning framework
- Distributed Machine Learning Toolkit - LightLDA, LightGBM, etc
- Graph Engine - RAM Store + Computation Engine + Graph Model