Azure Synapse Link for Dataverse provides a continuous pipeline of data from Dataverse to Azure Synapse Analytics or Azure Data Lake Storage Gen2. Once the link is established, the service will export all the initial data as well as sync any incremental changes, enabling customers to glean near real-time insights from data sourced from the Microsoft Dataverse service.
Read MoreA data architecture pattern that brings elements of the data warehouse to the data lake, enabling a broader set of analytical workloads to coexist on a unified platform. The data lakehouse is not a new product or service, but rather an evolution of the data lake pattern, made possible due to recent technology breakthroughs that have brought warehouse-like capabilities such as ACID transaction support, schema evolution, and time travel to the data lake.
Read MoreA collection of resources and learning material to help prepare for and pass exam PL-900: Microsoft Power Platform Fundamentals. This exam focuses on the core capabilities of the Power Platform including: Power Apps, Power BI, and Power Automate (formerly known as Microsoft Flow).
Read MoreSupercharge your apps by delivering insights directly to where your users are! Power BI Embedded enables ISVs and application developers to embed analytical content (dashboards, reports and visualisations) directly within an app.
Read MoreStream sensor data into the cloud. Using an IoT device (Raspberry Pi), temperature readings will be sent to Azure IoT Hub, consumed by Stream Analytics and visualised in real-time by Power BI.
Read MoreHow to get started with Azure Event Hubs and Stream Analytics. Understand the high-level architecture, key concepts, relationships and then finally dive into a demo where we will stream Bitcoin price data in real-time to Power BI.
Read MoreServerless database computing with Azure Functions and Microsoft's fully managed No-SQL database service, Cosmos DB. Using a time-based trigger, our function will update Cosmos DB with Bitcoin price data (e.g. open, high, low, volume, etc.) on a regular interval (every 1 minute).
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