Azure provides flexibility to instantiate services as and when they are needed, so you can change your platform capabilities as your progress. Data can be incredibly varied and there are different patterns for delivering specific analytics requirements, depending on whether you are doing data warehousing for BI, streaming real-time analytics, IoT analytics, AI/ML or managing a OLTP database in the cloud.

In this session we will build a platform that will showcase various techniques and processes native to Azure that allows us to manage this platform.

We will also look at various tooling in the demo which will include powershell, bicep, ARM templates and terraform as various ways to build the data platform.

This session is about managing your data platform - so that any Data Professional can easily build, scale and manage that platform using industry proven techniques.

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Presented by Hamish Watson at SQLBits 2022