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.
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[Visual Studio 2015 Update 3] (https://msdn.microsoft.com/en-in/library/mt613162.aspx)
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[Latest Microsoft Azure SDK] (https://azure.microsoft.com/en-us/downloads/)
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[.NET Core SDK Visual Studio Tools] (https://www.microsoft.com/net/core#windows)
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[Latest version of Node.js] (https://nodejs.org/en/download/)
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An active Microsoft Azure Subscription for deployments
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[SQL Server Management Studio or SQL Data Tools for Visual Studio] (http://go.microsoft.com/fwlink/?LinkID=824938)
Experience 1: Develop with SQL Server 2016
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.
Experience 2: Modernizing LOB apps with intelligence
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.
Experience 3: Evolving SQL Workloads from Software to SaaS
In this scenario we will build an e-Commerce retail based SaaS (Software as a Service) application
using Azure database services (Azure SQL Database).
Experience 4: Modernizing cloud-based web apps
In this scenario we will evolve and grow the e-Commerce web application by adding datalake,
data warehouse, Cosmos DB, Azure Search capabilities.
Experience 5: SQL Linux on Windows
This topic explains how to pull and run the mssql-server Docker image on Windows.
Experience 6: SQL Linux on Mac
This topic explains how to pull and run the mssql-server Docker image on Mac.