IoT Ingestion Patterns

Welcome to the 9th episode of the Azure Data Explorer 101 series! Each episode we will deep dive into a specific topic that will help you gain an understanding of different capabilities within Azure Data Explorer, also known as ADX or Kusto. In this video, we are joined by Brad Watts, a Program Manager on the Azure Data Explorer team, to learn about IoT Analytics in Azure Data Explorer. In this video, Brad will focus on IoT Ingestion patterns, ensuring that you understand the most common and widely used methods to get IoT Data into ADX. Azure Data Explorer API Overview - Azure Data Explorer | Microsoft Learn: https://learn.microsoft.com/en-us/azure/data-explorer/kusto/api/ Azure Data Explorer output from Azure Stream Analytics | Microsoft Learn: https://learn.microsoft.com/en-us/azure/stream-analytics/azure-database-explorer-output Use data history with Azure Data Explorer - Azure Digital Twins | Microsoft Learn: https://learn.microsoft.com/en-us/azure/digital-twins/how-to-use-data-history?tabs=cli Azure Data Explorer for IoT Data Analytics - YouTube: https://www.youtube.com/watch?v=2aOa_S3Up0A Connect with the Azure Data Explorer community: Azure Data Explorer's Twitter: https://twitter.com/AzDataExplorer Tech Community Blog: https://aka.ms/adx.blog Tech Community Forum: https://aka.ms/adx.techcommunity StackOverflow: https://aka.ms/adx.sof Ryan's Twitter: https://twitter.com/RMajidimehr