Session

Stream processing in SQL with Azure Stream Analytics

You know SQL? You need to process data in real time? Azure Stream Analytics (ASA) is the service for you. But let's dig a bit deeper and understand what makes a streaming query in ASA different from a T-SQL one in SQL Server.

In this session we'll discuss:
- the temporal aspect of stream processing, in theory and how it's implemented in ASA via time skew policies, windowing and how timestamps evolve as data flows through queries,
- how best to scale ASA jobs via partitioning,
- and how dynamic typing works in ASA, to never get bitten again inserting data in a SQL database

Florian Eiden

PM@Microsoft

Vancouver, Canada

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