Amit ☁’s Post

Happy and thrilled to share, that I am now certified Fabric Analytics Engineer Associate. Microsoft Fabric is a powerful suite of tools including Azure, Power Platform and Dynamics 365. This suite is designed to support a wide range of scenarios, from simple web apps to complex data analytics solutions. Learning Path: https://lnkd.in/gcW2dKsN This course covers various methods and practice session which will help to achieve your Fabric Analytics Badge. Microsoft Fabric Learn Together also provide expert led walkthrough of each subject. Microsoft #microsoft #azure #dataplatform #datanalytics #azuresynapse #synapse #sqlserver #PowerBI #PowerQuery #Visualization

Dataflows are a self-service, cloud-based, data preparation technology. Dataflows enable users to ingest, transform, and load data into Microsoft Dataverse environments, Power BI workspaces, or your organization's Azure Data Lake Storage account. Dataflows are authored by using Power Query, a unified data connectivity and preparation experience already featured in many Microsoft products, including Excel and Power BI. Customers can trigger dataflows to run either on demand or automatically on a schedule; data is always kept up to date.

Checkout my latest blog post on Microsoft Fabric Cost Model - Learn about Fabric Reservations to reduce costs and how to use Azure Cost Management Tool to better understand overall Fabric costs as well as costs by Workload Types. I expect Power BI Admins who are not familiar with Azure tooling like Azure Cost Management and Azure Reservations to benefit the most but still blog post going to be useful for anybody interested in understanding and reducing Fabric Costs.

While preparing for the Microsoft Fabric Analytics Engineer (DP-600) certification, I came across OneLake, and it’s incredibly interesting! OneLake eliminates the need to jump between various services, streamlining the entire process. 1. Simplify Scalable Analytics with Microsoft Fabric and OneLake  ->Scalable analytics can be complex, fragmented, and expensive. But with Microsoft Fabric, we can streamline processes by using a single, easy-to-manage product. Fabric offers persona-optimized experiences and tools within an integrated user interface, making it simpler to set up, create, and manage our analytics. One of the standout features of Fabric is OneLake. This unified SaaS offering stores all our data in a single open format, accessible by all analytics engines in the platform. Here’s what I note down: 1.Unified Storage: OneLake consolidates storage locations across different regions and clouds into a single logical lake, eliminating the need to move or duplicate data. 2. Seamless Integration: Similar to how Office applications use OneDrive, all compute workloads in Fabric are preconfigured to work with OneLake. This includes data warehousing, data engineering, data integration, real-time intelligence, and Power BI. 3. Efficiency and Collaboration: OneLake’s architecture facilitates collaboration between data professionals and business teams, saving time and resources. The OneCopy feature allows you to read data from a single copy without moving or duplicating it. 4. Shortcut Feature: Create embedded references within OneLake that point to other files or storage locations, enabling quick access to existing cloud data without copying it. Built on top of Azure Data Lake Storage (ADLS), OneLake supports various data formats, including Delta, Parquet, CSV, and JSON. This ensures that all compute engines in Fabric can store and access data seamlessly. With Microsoft Fabric and OneLake, we get a scalable, cost-effective, and accessible solution that continuously updates and maintains our data. Think of it as OneDrive for our data, but with the power to transform our analytics landscape. You can start exploring Microsoft fabric for free here: https://lnkd.in/ecGp9r3J Image from Microsoft Fabric Analytics Engineer - Get ready for Exam DP-600 - Explore end-to-end analytics with Microsoft Fabric #DataAnalytics #MicrosoftFabric #OneLake #Azure #DataManagement #CloudComputing #BusinessIntelligence #DataEngineering

Dataflows are self-service, cloud-based, data preparation technology. Dataflows are used to ingest, transform, and load data into Microsoft Dataverse environments, Power BI workspaces, or your organization's Azure Data Lake Storage account. Dataflows are authored by using Power Query, a unified data connectivity and preparation experience already featured in many Microsoft products, including Excel and Power BI. Customers can trigger dataflows to run either on demand or automatically on a schedule, data is always kept up to date.

👋 It's time to say "Goodbye" to the Export to Data Lake Feature in Dynamics 365! In November 2024, Microsoft is officially retiring this feature, and Dynamics 365 customers will transition to Azure Synapse Link for Dataverse. 🎓 Join us for our next live virtual session to explore how Azure Synapse Link can seamlessly integrate into your data strategy without impacting your Dynamics 365 performance! Key Takeaways: 🟣 Overview of Synapse Link for Dataverse Service 🟣 New Available Features & Known Limitations 🟣 How Does Azure Synapse Link Fit into My Data Model? 🟣 Accessing Your Data from the Synapse Workspace 🟣 And Much More! Register here - https://lnkd.in/eshQvjGR #MicrosoftDynamics365 | #MicrosoftCommunity | #Azure

Azure Fabric! 📊✨ Here are the main terminologies with concise explanations: 1. Capacity: Dedicated resources like compute power and storage available for tasks. 2. Experience: Feature sets focused on specific functions, like Data Engineering or Power BI. 3. Item: Specific capabilities within an experience, such as lakehouses or notebooks. 4. Tenant: A single instance of Fabric for an organization, linked to a Microsoft Entra ID. 5. Workspace: A collaborative environment for creating and managing various items. 6. SKU: A specific configuration of resources and services under a subscription plan. 7. Semantic Model: A structured representation of data defining relationships and calculations for analysis. 8. OneLake: Centralized data storage solution for integrating different data sources. If anyone has tips or resources, feel free to share! #MicrosoftFabric #DataEngineering #LearningJourney #TechInnovation #Azure

Want to adopt Microsoft Fabric but not sure where to start? Managing multiple tools, disjointed data, and slow decision-making processes can hold your team back. With #MicrosoftFabric, your business can: ➡️ Integrate your existing Power BI models for streamlined data access. ➡️ Version control with Azure DevOps or GitHub for managing Fabric artifacts. ➡️ Boost query performance by using Fabric mirroring with your Azure SQL databases. ➡️ Utilize Direct Lake mode for real-time insights, eliminating delays in your decision-making process. These 4 strategies bring everything together—better data integration, faster performance, and real-time analytics, empowering your business to make smarter, quicker decisions. #MicrosoftFabric #PowerBI #DataAnalytics #RealTimeData #AzureDevOps

📢 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐚𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭 𝐭𝐨 𝐚𝐥𝐥 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐮𝐬𝐞𝐫𝐬! The transition to Microsoft Fabric, coupled with the decommissioning of Power BI Premium per capacity SKUs is on the horizon!   🗓️ 𝐊𝐞𝐲 𝐝𝐚𝐭𝐞𝐬: •      1 July 2024 – New customers won't be able to purchase Power BI Premium per capacity after the indicated date. •      1 January 2025 - Existing customers without an Enterprise Agreement (EA) can renew until the indicated date. Existing EA clients can renew until the end of their agreement. 💎 𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬? The shift to Microsoft Fabric brings additional flexibility with pay-as-you-go options, access to exclusive Azure features and smaller compute SKUs.   📩 If you have any questions or doubts how the change impacts your environment, do not hesitate to reach out to us! 𝐎𝐮𝐫 𝐓𝐞𝐚𝐦 𝐢𝐬 𝐫𝐞𝐚𝐝𝐲 𝐭𝐨 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐲𝐨𝐮 𝐢𝐧 𝐭𝐡𝐞 𝐭𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧 𝐭𝐨 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬! Do not hesitate to contact our expert Michał Walanus

🚀 Migrating Notebooks Azure Synapse Analytics to Microsoft Fabric 🚀 As the data landscape evolves, organizations are increasingly adopting Microsoft Fabric for its unified data and analytics capabilities. One of the critical steps in this transition is migrating notebooks from Azure Synapse Analytics to Fabric to ensure seamless data processing and advanced analytics continue without disruption. 🔄 #Why #Migrate? Microsoft Fabric offers: ✅ Unified Analytics: Integrates Data Engineering, Data Science, and Business Intelligence in one platform. ✅ Enhanced Performance: Leverages modern data lakehouse architecture. ✅ AI Integration: Seamless integration with AI tools like Azure OpenAI, SynapseML, and more. 🔧 Key Steps for Migration: 1️⃣ Export Notebooks from Azure Synapse as .ipynb files. 2️⃣ Review Dependencies: Check for libraries and modules compatibility. Fabric is powered by Spark but might require slight adjustments. 3️⃣ Upload to Microsoft Fabric using the Data Engineering or Data Science experiences. 4️⃣ Test & Validate: Run the notebooks, validate outputs, and ensure data pipelines and transformations are working correctly. 5️⃣ Optimize: Leverage Fabric’s optimization capabilities, such as OneLake and Lakehouse for better data performance and governance. 💡 Pro Tip: Take advantage of Fabric’s Integrated Security and AI-Powered Analytics to scale your data solutions! Migrating your notebooks to Microsoft Fabric isn’t just a tech upgrade—it’s a step toward future-proofing your data ecosystem. 🌐 #AzureSynapse #MicrosoftFabric #DataEngineering #AI #DataScience #DataMigration #Azure #FutureReady #CloudComputing #DataAnalytics https://lnkd.in/g2NeWRNZ