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Showing posts with the label Microsoft Fabric

Integrate Azure Devops with Microsoft Fabric, to fetch the board items and queries (low code/no code)

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  Azure DevOps Server , formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version control (either with Team Foundation Version Control (TFVC) or Git), reporting, requirements management, project management (for both agile software development and waterfall teams), automated builds, testing and release management capabilities. It covers the entire application lifecycle and enables DevOps capabilities. Azure DevOps can be used as a back-end to numerous integrated development environments (IDEs) but is tailored for Microsoft Visual Studio and Eclipse on all platforms.  Azure Devops is now an integral part of our life. Where not we are using it? Pieplines, code repos, issue trackers, sprint managements, LCS ALMs, Swimlanes, Backlogs, Burn-up/Burn-down charts: all in all Azure Devops is no less than a big budget James Bond movie. On the otherhand,  Microsoft Fabric  is an end-to-end analytics and dat...

Creating Power BI reports From Microsoft Fabric Lakehouse

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  Wassup guys? Let's talk today about a very interesting topic of imbibing Power BI reports, fetching data from Microsoft Fabric Lakehouse . Microsoft Fabric is an extremely powerful toolhouse that encompass not just data storing and engineering mechanism, but also UI rich built-in reporting capabilities and real-time analytics. Before we begin, let me give you a short recap on what Microsoft Fabric is all about:  Microsoft Fabric  is an end-to-end analytics and data platform designed for enterprises that require a unified solution. It encompasses data movement, processing, ingestion, transformation, real-time event routing, and report building. Microsoft Fabric is a data analytics platform that helps organizations manage, access, and act on data. It's designed to address all aspects of an organization's analytics needs, including all ingredients of data movement like: data processing, ingestion, and transformation, as well as real-time analytics to allow users to explor...