Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
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Getting changes from SQL Server to Event Hub can be tedious. I'll show you how to set up Debezium to automate SQL Server change data capture into Event Hub and explain why this matters for your serverless architecture!
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If you are interested in real-time data and analysis of said data, this session is for you. In this session, we look at how we can ingest streaming data from Azure Event Hubs into Azure Data Explorer and perform analysis of that data.
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Azure Functions are great for a wide range of scenarios, including working with data on a transactional or event-driven basis. In this session, we'll look at how you can interact with Azure SQL, Cosmos DB, Event Hubs, and more so you can see how you can take a lightweight but code-first approach to building APIs, integrations, ETL, and maintenance routines.
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A short intro to Lambda Architectures - what they mean, what they are, and how you can use them in your solutions
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A few years ago I had a client with a data need and I built an IaaS solution. Now, it would have been an ideal fit for a PaaS approach using Azure DB, Stream Analytics and Power BI. This session demos and explains why.
See how we can address the problem of real-time analysis, on data in its raw form, without going through the whole ETL/ELT process, using Azure Data Explorer. We will also explore this solution in a demo!
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