Data & AI Demo & Learning Environments

As a partner, you might want to use a demo environment to showcase the capabilities of Azure services. Microsoft does not offer a hosted, out-of-the box, Microsoft Purview environment for demo-purposes. To help partners with the setup of their own environment for learning/demo purposes, there are some resources that help you with the automatic setup and configuration. The remainder of this page provides you with pointers to environments that we know of. (This is a work in progress, so please let us know if you have any suggestions for additional environments that we can add to this list.)

Azure Data Services - Operational Data

Azure Cosmos DB

Azure Cosmos DB is a fully managed NoSQL database for modern multitenant application development. You can build applications fast with open source APIs, multiple SDKs, schemaless data and no-ETL analytics over operational data. Single-digit millisecond response times, and instant scalability, guarantee speed at any scale. Guarantee business continuity, 99.999% availability and enterprise-grade security for every application. End-to-end database management, with serverless and automatic scaling matching your application and TCO needs.

  1. Azure Cosmos DB for Multitenant Applications Workshop

Azure Data Services - (Real Time) Analytical Data & Data Processing

Azure Synapse

  1. Azure Synapse 1-click POC environment with pre-populated dataset, pipeline, notebook ➡️ This 1-click deployment allows the user to deploy a Proof-of-Concept environment of Azure Synapse Analytics with dataset (New York Taxi Trips & Fares data), pipeline to (ingest, merge, aggregate), notebook (Spark ML prediction):
    1. ➡️ When you have the demo env, then take a look at these step-by-step guides that will help you in getting to a working and useful demo environment:
  2. https://learn.microsoft.com/en-us/azure/synapse-analytics/get-started
  3. Azure Synapse End-End Demo: This repository provides one-click infrastructure and artifact deployment for Azure Synapse Analytics to get you started with Big Data Analytics on a large sized Health Care sample data. You will learn how to ingest, process, and serve large volumes of data using various components of Synapse.
  1. Azure Synapse Link For SqlDB 1-Click Environment
  2. Azure Synapse Link For Dataverse POC Environment
  3. Azure Synapse Link For CosmosDB 1-Click Environment

Azure Data Services - Data Governance

Microsoft Purview

  1. This GitHub repo provides you with an end to end demo in 10 minutes: https://aka.ms/pvdemo (it works with the “deploy to azure” button)")
  2. Another option is this one: https://aka.ms/PurviewKickstart

Azure Data Services - Real time Data Processing

Azure Data Explorer (Kusto)

  1. Azure Data Explorer in a Day (Preview). This workshop consists out of the following 2 labs:
    1. Lab1: Cluster Creation, Data Ingestion and Exploration
    2. Lab 2: Advanced KQL, Policies, and Visualization

Azure AI Services

Azure Machine Learning

Azure MLOps

Azure MLOps (v2) Solution Accelerator: This project is intended to serve as the starting point for MLOps implementation in Azure. MLOps is a set of repeatable, automated, and collaborative workflows with best practices that empower teams of ML professionals to quickly and easily get their machine learning models deployed into production. You can learn more about MLOps here:

You can learn more about MLOps via the below resources

Demos & Datasets with a broader focus

Data & AI Industry DREAM Demos & DREAM Demo in a Box

Data & AI Industry DREAM Demos are realistic clickable demos based on actual customer engagements that cover a range of industry scenarios in story form. These can be used to help both BDMs and TDMs envision how to bring Data & AI to life in their organization. The walkthrough material offers step by step guidance on how land this with customers. DREAM Demos in a Box are packaged Industry Scenario DREAM Demos with ARM templates that can be deployed in a customer’s subscription using the CAPE tool in just a few hours, enabling customers to test out the demo scenarios

https://aka.ms/dreamdemosforpartners

Dream demo in a box: Azure Analytics & AI engagement

A great example of such a “Dream demo in a Box” is the Azure Analytics and AI engagement. There is GitHub repo that contains the different resources for deployment and lab setup. (link)

Workshop libraries

  1. Next Generation Team’s Workshop Library, built by Cloud Advocates and their colleagues in partnership with Microsoft Student Ambassadors. In this repo, you’ll find grab-and-go resources to help you host your own workshop.

Azure Open Datasets

A great set of resources for when you want to explore or learn and need a (decent) basic dataset: https://docs.microsoft.com/en-us/azure/open-datasets/dataset-catalog