Data for Development
Get hands-on and learn how to build secure, performant, scalable and predictive application modernization practice centered around data-driven intelligent apps (using SQL Server 2016 and Azure Database Services), and re-architect on-premises ISV/SaaS apps to Azure for scale, reach.
Pre-requisites for the lab
[Visual Studio 2015 Update 3] (https://msdn.microsoft.com/en-in/library/mt613162.aspx)
[Latest Microsoft Azure SDK] (https://azure.microsoft.com/en-us/downloads/)
[.NET Core SDK Visual Studio Tools] (https://www.microsoft.com/net/core#windows)
[Latest version of Node.js] (https://nodejs.org/en/download/)
An active Microsoft Azure Subscription for deployments
[SQL Server Management Studio or SQL Data Tools for Visual Studio] (http://go.microsoft.com/fwlink/?LinkID=824938)
In this scenario we will learn about the new features of SQL Server 2016, such as Always Encrypted, Dynamic Data Masking or Temporal Tables among others.
In this scenario we will re-architect an existing LOB workload for the cloud, using Azure SQL Database, Azure ML, Azure Search and Power BI.
In this scenario we will build an e-Commerce retail based SaaS (Software as a Service) application using Azure database services (Azure SQL Database).
In this scenario we will evolve and grow the e-Commerce web application by adding datalake, data warehouse, Cosmos DB, Azure Search capabilities.
This topic explains how to pull and run the mssql-server Docker image on Windows.
This topic explains how to pull and run the mssql-server Docker image on Mac.