People looking for real-world implementations of scalable data solutions in the cloud
Follow along with my six-month solo journey going from no infrastructure to an Azure distributed data platform that could process more than a billion transactions a month on less than £500 p/m.
You won’t just see the super duper end product, you’ll see the struggles to get there. The tech that didn’t work. The tech that didn’t scale. The oopsy moments that cost a lot. The lessons learnt.
You’ll get to hear about my experiences with Azure data techs like Azure SQL, SQL DW, Azure Storage, Redis, HDInsight, DocumentDB, Azure Functions, Event Hubs, Stream Analytics, Azure Data Factory and more! You’ll see how each fitted (well, mainly didn’t fit) my requirements and what sorts of scales they worked on for my use case.
Why I Want to Present This Session:
Because making Azure work can be hard and few people share the problems and painful lessons learnt.