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Insight from Exhaust, Enriching Your Applications with Data
Modern cloud applications provide new opportunities every day for greater insights into our customers, code and quality using the signals in the application’s exhaust. Using the data produced by users and applications, developers can easily improve the experience for users and increase their engagement within the apps they are using. Starting with a typical application deployed in Azure, this talk will walk through the steps required to build a more intelligent application, customized for each user to provide a more engaging experience. We’ll add more engaging recommendations tailored to a user, more relevant in-application search results, and gain deeper understanding the application’s users. Additionally, we’ll cover how to process this telemetry as it is created to enable us to react in real time to changes in the application. No knowledge of machine learning, data science, or big data is required, by the end you’ll learn to use all three to create a richer application.
Building Multitenant SaaS Applications with Tenant Isolation and Unlimited Scale on Azure SQL Database