Managers, Developers and Data Scientists who are contemplating the future of Azure Data Analytics
Technology changes quickly – patterns and approaches less so. As we move towards distributed cloud architectures we will employ a range of disparate tools, the patterns that were designed for single box solutions may not be appropriate any more.
This session will take you through the pattern known as the Lambda architecture, and outline the set of tools and integration points that can underpin it.
We will follow the movement of data through batch and speed layers via Azure Data Lake Store & Analytics, Data Factory, SQL Datawarehouse and Streamining Analytics, before looking briefly at Azure Analysis Services with PowerBI. This is a largely theory-based session to prime you for the future.
Why I Want to Present This Session:
It’s an architecture session – which isn’t really the norm for these conferences – but the way Azure is going, there are hundreds of options, different ways of achieving the same goal. For those who are confused by the myriad options around, I want to cut through the hype and clearly lay out a simple approach that works for loads of different scenarios!
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