A practical use case for performing predictive maintenance through Microsoft Azure Synapse. Join Macaw, Netherlands-based AI and analytics firm, to see how they’re using Azure Synapse to help modernize the residential and commercial water supply in Holland with IoT and proactive analytics. Macaw specializes in modernizing data platforms for customers, and is using Azure Synapse to build analytics on top of nearly closed legacy systems. Host Jeremy Chapman speaks with Henko Kors, Data and Analytics Architect at Macaw, to discuss how they are using predictive maintenance to detect issues in advance while keeping a high quality of service, all through Azure Synapse. If you are new to Azure Synapse, it's Microsoft's limitless analytics platform that brings enterprise data warehousing and big data processing together into a single service, removing the traditional constraints for analyzing data of all shapes and sizes.
Azure Synapse Predictive Maintenance | Macaw's Practical Use Case Print
Created by: Saima Farheen
Modified on: Mon, 17 Aug, 2020 at 7:48 PM
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