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Awesome-Azure-Advanced-Analytics

Awesome big data and advanced analytics resources for the Microsoft Azure Cloud
https://github.com/dem108/Awesome-Azure-Advanced-Analytics

Last synced: 4 days ago
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Cloud Scale Analytics
- Azure Data Lake
- Microsoft Power BI
- Azure Databricks
- Azure Cosmos DB
- Azure Database for MariaDB
  - Overview
  - Documentation
- Azure Database for MySQL
  - Overview
  - Documentation
- Azure Data Factory
  - Blog
- Azure HDInsight
- Azure IoT
- Azure Analysis Services
- Azure Database for PostgreSQL
  - Documentation
- Azure Data Catalog
  - Documentation
  - Frequently Asked Questions
- Azure Data Explorer
- Azure Event Hubs
  - Documentation
  - Frequently Asked Questions
- Azure SQL Data Warehouse
- Azure Time Series Insights
- Azure Redis Cache
- Azure SQL Database
- Azure Stream Analytics
  - Blog
  - Overview
Azure General
- Getting to know Azure
  - Awesome Azure: Azure for Startups - Startups key Azure resources and code sample.
  - Awesome Azure: Tools, Guides, Tutorials - A curated list of awesome Microsoft Azure tools, guides, tutorials.
  - Awesome Azure: IoT - A curated list of awesome Azure Internet of Things projects and resources.
  - Azure Marketplace
  - Azure GitHub Repos - APIs, SDKs and open source projects from Microsoft Azure.
  - Azure Code Samples
  - Azure Quickstart Templates
  - Azure Blog - Official blog with announcements, updates, tips and more.
  - Blogs: Artificial Intelligence - DESCRIPTION NEEDED.
  - Blogs: AzureCAT Guidance - DESCRIPTION NEEDED.
  - Blogs: Big Data - DESCRIPTION NEEDED.
  - Blogs: Database - DESCRIPTION NEEDED.
  - Blogs: Data Platform - DESCRIPTION NEEDED.
  - Blogs: Data Science - DESCRIPTION NEEDED.
  - Blogs: Data Warehouse - DESCRIPTION NEEDED.
  - Azure Updates - Learn about important Azure product updates, roadmap, and announcements. Subscribe to notifications to stay informed (RSS supported).
  - Azure Data Architecture Guide - DESCRIPTION NEEDED.
  - Azure IoT reference architecture - DESCRIPTION NEEDED.
  - Microsoft Research Podcast - Microsoft Research ongoing Podcast series, touching variety topics on Machine Learning / Machine Teaching, autonomous systems, Quantom Computing, and much more.
  - Azure Interactives: Products, Design Patterns, Security - ->
  - Blogs: IoT - DESCRIPTION NEEDED.
  - Free Azure Subscription - Guide on creating new free Azure subscription and get started on Azure.
  - Azure Forums - Ask questions, get answers and connect with Microsoft engineers and Azure community experts.
  - DevOps Checklist - DESCRIPTION NEEDED.
- Training Resources
  - Microsoft AI Lab - DESCRIPTION NEEDED.
  - Azure Training Courses - DESCRIPTION NEEDED.
  - Azure Certification: Where to Start? - DESCRIPTION NEEDED.
  - Learn Analytics Materials - DESCRIPTION NEEDED.
  - edX.org Courses on Azure - DESCRIPTION NEEDED.
  - Microsoft Hands-On Labs - DESCRIPTION NEEDED.
  - Azure Readiness GitHub Repos - DESCRIPTION NEEDED.
  - AWS to Azure Services Comparison - DESCRIPTION NEEDED.
- Technical Certifications
  - Microsoft Certifications - Role-based certifications for Developers, Administrators, Solution Architects, Data Engineers, Data Scientists, AI Engineers, DevOps Engineers, Security Engineers, and Functional Consultants.
  - Data Engineer - Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of data services.
  - Data Scientist - Data Scientists apply machine learning techniques to train, evaluate, and deploy models that solve business problems.
  - AI Engineer - AI Engineers use Cognitive Services, Machine Learning, and Knowledge Mining to architect and implement Microsoft AI solutions.
  - AI-100 - Designing and Implementing an Azure AI Solution.
  - DP-200 - Implementing an Azure Data Solution.
  - DP-201 - Designing an Azure Data Solution.
  - 70-473 - Designing and Implementing Cloud Data Platform Solutions.
  - 70-475 - Designing and Implementing Big Data Analytics Solutions.
  - 70-773 - Analyzing Big Data with Microsoft R.
  - 70-774 - Perform Cloud Data Science with Azure Machine Learning.
  - 70-775 - Perform Data Engineering on Microsoft Azure HDInsight.
  - 70-776 - Perform Big Data Engineering on Microsoft Cloud Services.
  - 70-778 - Analyzing and Visualizing Data with Microsoft Power BI.
  - Microsoft Professional Program – Artificial Intelligence
  - Microsoft Professional Program – Data Science
  - Microsoft Professional Program – Internet of Things
  - Microsoft Professional Program – Big Data
  - Data Engineer - Data Engineers design and implement the management, monitoring, security, and privacy of data using the full stack of data services.
  - Data Scientist - Data Scientists apply machine learning techniques to train, evaluate, and deploy models that solve business problems.
  - DP-100 - Designing and Implementing a Data Science Solution on Azure.
AI + Machine Learning
- Knowledge Mining
  - Documentation - DESCRIPTION NEEDED.
  - Blog - DESCRIPTION NEEDED.
  - The MET - DESCRIPTION NEEDED.
  - JFK files - DESCRIPTION NEEDED.
  - Contoso Manufacturing - DESCRIPTION NEEDED.
  - Patent Search - DESCRIPTION NEEDED.
  - Academic Reference Parsing - DESCRIPTION NEEDED.
  - Knowledge Mining Bootcamp - Training material from Azure AI Customer Engineering (ACE) team.
  - Knowledge Mining Solution Accelerator (workshop) - Step-by-step hands-on workshop guides from KM Solution Accelerator.
  - Cognitive Search
  - Wolter Kluwer - DESCRIPTION NEEDED.
  - Document Search (healthcare/news/legal/HR) - DESCRIPTION NEEDED.
  - AIML10: Making Sense of your Unstructured Data with AI - Cover ingest-enrich-explore pattern, skillsets, cognitive skills, natural language processing, computer vision, and beyond.
- Machine Learning
  - Model Management
  - Azure Architecture Center-AI and ML - ML at Scale Reference Architectures
  - Designer - No-code ML experience that spans data preparation, model training, and deployment.
  - Enterprise Security - Authentication, authorization, network security, data encryption, monitoring, data flow diagrams with Azure ML.
  - Batch scoring of deep learning models on Azure
  - Machine learning operationalization (MLOps) for Python models using Azure Machine Learning
  - Azure ML Workspace creation template (ARM) - Advanced Azure Machine Learning workspace creation templates supporting approval(auto/manual) private endpoint, customer managed key, link to Azure Databricks workspace, virtual network.
  - Azure ML Python SDK
  - Azure ML R SDK
  - Azure ML CLI
  - How to Choose Algorithms for AzureML Studio
  - Re-train a Machine Learning Model
  - Experiments Gallery
  - Templates Gallery
  - PowerShell Commandlet Library
  - Operationalizing ML Models
  - Free eBook
  - Overview
  - What's included in the Data Science VM?
  - Tools, Platforms, Utilities, and Samples
  - Provision the Windows Data Science Virtual Machine
  - Provision the Linux Data Science Virtual Machine
  - Provision the Deep Learning Virtual Machine
  - Ten things you can do on the Data science Virtual Machine
  - Documentation
  - Using BigDL
  - Developing and Operationalizing H2O.ai Models with Azure
  - Distributed Machine Learning Toolkit
  - What is Azure Machine Learning? - Key concepts of Azure ML.
  - Comparison of Microsoft ML Products - Inclusive of Cloud and On-premises solutions.
  - Architecture and Concepts - Workflow, Tools, Glossary.
  - MLOps Concepts - MLOps: Model management, deployment and monitoring with Azure Machine Learning.
  - Agile Project Management with Azure DevOps: Concepts, Templates, and Metrics - by Joachim Rossberg.
  - TwiML-Enterprise Readiness, MLOps and Lifecyle Management - TwiML Podcast with Jordan Edwards.
  - Automated Machine Learning - Covers when to use it, how it works, pre-processing, how to avoid overfitting, ensemble models, imbalanced data etc.
  - Interpretability - Why it matters, how it is implemented in Azure ML (SHAP, Mimic, Permutation Feature Importance, LIME, HAN, Tabular).
  - Azure ML REST API
  - Video Series: Data Science for Beginners
  - Vision AI DevKit docs - Get Started resources for VAIDK.
  - Documentation
  - Documentation
  - Distributed Training Using Horovod
  - Overview
  - Train PyTorch models
  - Tune Hyperparameters
  - Open Neural Network Exchange (ONNX)
  - ONNX
  - Deep Learning Pipelines
  - Distributed Deep Learning
  - Using CNTK and TensorFlow
  - Using Caffe
  - Using H2O.ai
  - Operationalize Python, Spark, CNTK & TensorFlow Models on AzureML
  - Python API
  - Train & Serve Models with Kubernetes
  - Azure HDInsight Spark Notebooks
  - Overview
  - Documentation
  - ML Server Blog
  - Tiger Team Blog
  - Client
  - Function Library
  - Tutorials
  - Samples
  - Revolution Analytics Blog
  - Microsoft ML Server - MicrosoftML Package
  - Visual Studio Tools for AI
  - Overview
  - Blog
  - Model Gallery
  - edX Course: Deep Learning Explained
  - Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform - by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
  - Azure ML Studio Notebooks
  - Deploy and Manage Web Services
  - SQL Server Python Tutorials
  - Tools for Visual Studio
  - Client
  - Function Library
  - Tutorials
  - Samples
  - Deploy and Manage Web Services
  - SQL Server R tutorials
  - Overview
  - Tutorials
  - eBook: Data Science with SQL Server
  - Compute Contexts
  - Operationalization of Models
  - Configuring ML Server to Operationalize Analytics on Azure
  - Microsoft R Application Network
  - Revolution Analytics GitHub Repos
  - A Collection of Simple R Demos
  - eBook: Introduction to Microsoft R
  - Video Series: Introduction to Microsoft R
  - Course Learning Materials
  - The AI Blog - From The Official Microsoft Blog.
- AI Apps and Agents
  - Documentation - Learn how to build intelligent and supported algorithms into apps, websites, and bots to see, hear, speak, understand, and interpret your user needs.
  - Personalizer - The Personalizer resource, your learning loop, uses machine learning to build the model that predicts the top action for your content.
  - Demo1
  - Demo2
  - Custom Translator Portal - Learn how to customize Microsoft Translator's neural text and speech translation systems using your own training data to fit your style and terminology.
  - Microsoft Translator - Translated conversations across devices, for one-on-one chats and for larger group interactions.
  - Microsoft Translator Git Repo - Samples and utilities for Microsoft Translator.
  - Custom Speech - A set of online tools that allow you to evaluate and improve Microsoft's speech-to-text accuracy for your applications, tools, and products.
  - Blog - Azure Cognitive Services Blog.
  - Cognitive Research Technologies - This set of innovative APIs and SDKs provides researchers and developers with an early look at emerging cognitive capabilities.
  - Microsoft Azure Developer: Creating and Integrating AI with Azure Services - Explore the landscape of AI in the Microsoft space, and examine some practical examples to get you started.
  - Principles of Bot Design - DESCRIPTION NEEDED.
  - Templates in the Azure Bot Service - DESCRIPTION NEEDED.
  - Blog - DESCRIPTION NEEDED.
  - Language Understanding Intelligent Service - DESCRIPTION NEEDED.
  - QnA Maker - DESCRIPTION NEEDED.
  - Video: Getting Started with Bots - DESCRIPTION NEEDED.
  - Developing Bots with Microsoft Bots Framework: Create Intelligent Bots using MS Bot Framework and Azure Cognitive Services - by Srikanth Machiraju, Ritesh Modi
  - Custom Keyword - Customizing your keyword is an effective way to differentiate your device and strengthen your branding.
  - Speech CLI - Command line tool for using the Speech service without writing any code, it is production-ready and can be scaled up to run larger processes using automated .bat or shell scripts.
  - Custom Vision Service Portal - Customize your own state-of-the-art computer vision models that fit with your unique use case by just bringing a few examples of labeled images.
  - Video Indexer Portal - Easily extract insights from your videos and quickly enrich your applications to enhance discovery and engagement.
  - AIML20: Using Pre-Built AI to Solve Business Challenges - Computer Vision, Custom Vision, ONNX, and Personalizer.
  - Vowpal Wabbit - Vowpal Wabbit for reinforcement learning (contextual bandit, learning to search), supervised learning (active learning, extreme
  - Recommendations Solution - (Old) Azure AI Gallery template for Recommendations Solution.
  - MS Store - On Microsoft Store: From face identification, emotion understanding and computer vision, to bots, text analytics and Bing services, the kiosk is your toolbox of AI demos, ready whenever you need an intuitive and engaging way of showing off Microsoft AI.
  - Audio Content Creation - Manage SSML files.
  - Bot Framework Documentation - DESCRIPTION NEEDED.
  - Azure Bot Service Documentation - DESCRIPTION NEEDED.
  - Bot Framework Overview - DESCRIPTION NEEDED.
  - Frequently Asked Questions - DESCRIPTION NEEDED.
  - Add Intelligence with Cognitive Services - DESCRIPTION NEEDED.
  - Bot Framework Emulator - DESCRIPTION NEEDED.
  - Bot Analytics - DESCRIPTION NEEDED.
- Technical Certifications
  - Blog - DESCRIPTION NEEDED.
  - AI News - DESCRIPTION NEEDED.
  - AI Gallery - DESCRIPTION NEEDED.
  - Solution Templates - DESCRIPTION NEEDED.
  - Application Gallery - DESCRIPTION NEEDED.
Contributing
- this
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Programming Languages

Jupyter Notebook 1

Ecosyste.ms: Awesome

Awesome-Azure-Advanced-Analytics

Cloud Scale Analytics

Azure Data Lake

Microsoft Power BI

Azure Databricks

Azure Cosmos DB

Azure Database for MariaDB

Azure Database for MySQL

Azure Data Factory

Azure HDInsight

Azure IoT

Azure Analysis Services

Azure Database for PostgreSQL

Azure Data Catalog

Azure Data Explorer

Azure Event Hubs

Azure SQL Data Warehouse

Azure Time Series Insights

Azure Redis Cache

Azure SQL Database

Azure Stream Analytics

Azure General

Getting to know Azure

Training Resources

Technical Certifications

AI + Machine Learning

Knowledge Mining

Machine Learning

AI Apps and Agents

Technical Certifications

Contributing