22-25 April 2026 
SQLBits 2020
Predictive Maintenance with Azure Synapse
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
This session explores a real-world predictive maintenance use case, focusing on anomaly detection in device telemetry to aid customer service. As well as looking at the technology behind Azure Synapse, it will explain how it supports the end to end data science process, providing a reference point for getting started with other advanced analytical workloads.
Speakers
James Broome's previous sessions
Do those numbers look right? How to ensure quality, and avoid inaccuracies in your data insights.
The need to validate business rules and security boundaries within a data solution is important, as well as the need for ensuring that quality doesn't regress over time as it evolves. Data insights are useless or even dangerous if they can't be trusted, and in this session, James will explain how and why they should treated just like any other software project with respect to testing - by building automated quality gates into the end to end development process.
During the session, he'll walk through some practical examples and proven techniques around testing data solutions - including Power BI reports, Synapse Pipelines and interactive Spark notebooks.
Predictive Maintenance with Azure Synapse
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.