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Here are the five big takeaways wrapped in a cheat sheet for MS Ignite this year. Ready for you to look plausible when you're next asked what happened! 1. AI Agents are here, and backed by enterprise grade development tools. Large language models have advanced insanely in the last two years, and they've matured to the point where they can take actions in your business (ask us how!). 2. Fabric is now a first class citizen in the cloud data workflow, it's gained SQL tools (SQL will outlast us all), and more integrations. 3. MS Purview has AI governance tools, and new Data Loss Prevention, as well as additional proactive risk analysis. 4. Copilot is even more tightly integrated into the M365 ecosystem - now significantly more than a glorified email summarisation tool. 5. Hybrid Cloud workloads have been introduced with Azure Local (how we chuckled until they explained...). AI models can run on edge compute, bringing acceptably secure development to tricky deployments. For me, the AI space in particular is getting more and more exciting - comment below which new release you're the most interested in!

📈𝗚𝗿𝗮𝗳𝗟𝗜 - 𝗔𝗻 𝗼𝘂𝘁-𝗼𝗳-𝘁𝗵𝗲-𝗯𝗼𝘅 𝗔𝘇𝘂𝗿𝗲 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺📉 Are you tired of complex Azure monitoring setups? Discover Grafli, an out-of-the-box visualization platform that simplifies Azure monitoring and brings your data to life. It looks very promising. Prateek Singh's attached guide provides an amazing overview. 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 🔹Seamless Integration: Effortlessly connect to your Azure resources and visualize critical metrics. 🔹Intuitive Dashboards: Gain immediate insights with pre-built and customizable dashboards. 🔹Customizable Alerts: Stay informed with timely notifications about anomalies or thresholds. 🔹Enhanced Collaboration: Share insights with your team and make data-driven decisions together. https://lnkd.in/dD7ZxATh

Actuarial automation is evolving due to innovative technologies that streamline and enhance our processes. Microsoft Power Platform is leading this transformation, offering tools that empower us to quickly build intelligent, scalable solutions. With Power Apps, we can use AI-powered authoring to speed up development. This allows actuaries with varying skill levels to innovate and drive value for our organizations. The platform's unified approach integrates AI, data, and cloud services, ensuring seamless operation and enterprise-level scalability. With Microsoft Power Platform, embrace the shift towards a more agile, AI-driven workflow. Join the professionals leveraging these tools to stay ahead in dynamic actuarial automation and optimization. https://lnkd.in/gxAMKwhR

Take your data analytics to the next level with Azure Databricks! From seamless collaboration to advanced machine learning, this powerful platform is helping businesses thrive in the data-driven world. Find out how in this blog.

Discover how Microsoft Fabric REST APIs simplify automation and integration in this insightful series. This is Part One, diving into API options that span development, deployment, and governance. 🔹 Streamline operations with Microsoft Fabric REST APIs 🔹 Use powerBIAccessToken for API authentication 🔹 Create, list, and drop workspaces effortlessly 🔹 Generate and manage data pipelines programmatically 🔹 Automate Lakehouse creation 🔹 Control Fabric capacities using Azure Management API for cost management For more information, visit: https://lnkd.in/d7vY4qbf #MicrosoftFabric #Azure #RESTAPI #DataAutomation

In today's data-driven business environment, making informed decisions quickly is crucial for staying competitive.  📊 AWS QuickSight offers a powerful solution for business intelligence and data visualization, allowing you to gain insights from your data without the complexity of traditional BI tools.     🚀 Unlock the Power of Data with AWS QuickSight! 📊   Are you looking to transform your business intelligence and data analytics? AWS QuickSight might be the game-changer you need!   Key Features: ✅ Machine Learning Insights ✅ Interactive Dashboards ✅ Natural Language Q&A ✅ Embedded Analytics ✅ Pay-per-Session Pricing   Why Choose QuickSight? 1️⃣ Scalability: Analyze data from multiple sources with ease 2️⃣ Speed: Get insights fast with SPICE in-memory technology 3️⃣ Accessibility: Access your data anywhere, anytime 4️⃣ Integration: Seamlessly works with other AWS services 5️⃣ Cost-effective: No upfront costs or long-term commitments   Whether you're a small startup or a large enterprise, QuickSight offers powerful BI tools to drive data-driven decision making.   Want to learn more? @zeb helps in leveraging the above AWS services for your business use case.   Reach out to our sales team (sales@zeb.co) to know more about it.     #AWSQuickSight #BusinessIntelligence #DataAnalytics #CloudComputing #AWS #zeb

What is 𝐃𝐞𝐥𝐭𝐚 𝐒𝐡𝐚𝐫𝐢𝐧𝐠? ➡️ 𝑫𝒆𝒍𝒕𝒂 𝑺𝒉𝒂𝒓𝒊𝒏𝒈 is an open protocol developed by Databricks for secure data sharing with other organizations regardless of the computing platforms they use. ➡️ There are three ways to share data using Delta Sharing: 1.) 𝐓𝐡𝐞 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬-𝐭𝐨-𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥, which lets you share data and AI assets from your Unity Catalog-enabled workspace with users who also have access to a Unity Catalog-enabled Databricks workspace. This approach uses the Delta Sharing server that is built into Azure Databricks. It supports some Delta Sharing features that are not suppported in the other protocols, including notebook sharing, Unity Catalog volume sharing, Unity Catalog AI model sharing, Unity Catalog data governance, auditing, and usage tracking for both providers and recipients. The integration with Unity Catalog simplifies setup and governance for both providers and recipients and improves performance. 2.)𝐓𝐡𝐞 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 𝐨𝐩𝐞𝐧 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥, which lets you share tabular data that you manage in a Unity Catalog-enabled Databricks workspace with users on any computing platform. This approach uses the Delta Sharing server that is built into Azure Databricks and is useful when you manage data using Unity Catalog and want to share it with users who don’t use Databricks or don’t have access to a Unity Catalog-enabled Databricks workspace. The integration with Unity Catalog on the provider side simplifies setup and governance for providers. 3.)𝐀 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫-𝐦𝐚𝐧𝐚𝐠𝐞𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐭𝐡𝐞 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐃𝐞𝐥𝐭𝐚 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐬𝐞𝐫𝐯𝐞𝐫, which lets you share from any platform to any platform, whether Databricks or not.

Thinking about moving to Qlik Cloud to get Qlik's most advanced features like Alerting, Advanced Mapping, Discover insights using Natural Language and App Automation? At #QlikConnect Motio Inc will share their tips to find success with your SaaS migration. Register today!

As I'm preparing to read this exciting new book by Packt called "Microsoft Fabric" here is my take on the key lessons you will get from this book: 👉 Understanding Microsoft Fabric: The book provides an overview of Microsoft Fabric, a unified solution designed for the AI era, which combines data integration, OneLake, transformation, visualization, universal security, and a unified business model. 👉Exploring Workloads: It guides you through various workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. 👉Building Solutions: You’ll learn how to build end-to-end Lakehouse and data warehouse solutions using the medallion architecture, and how to unlock the potential of real-time analytics. 👉Implementing AI Models: The book teaches you how to implement machine learning and AI models within the Microsoft Fabric ecosystem. 👉Monitoring and Administration: As you progress, you’ll gain expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. 👉Enhancing Security and Governance: The book provides step-by-step guidance on enhancing security and governance practices in Microsoft Fabric. 👉Implementing CI/CD workflows: You’ll learn how to implement CI/CD workflows with Azure DevOps or GitHub within the Microsoft Fabric environment. 👉Discovering Copilot: Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey. By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric. Link to the book - https://packt.link/PeUsz Authors: Arshad Ali & Bradley Schacht Thanks to Nivedita Singh for the opportunity to review such great books relevant to our Industry. Looking forward to reviewing many more 😃 Also watch out for a new article where I share a range of recommended Power BI and many more by Packt #MicrosoftFabric

How would you lead a data project? I enjoy being IC and here is a guide about leading the project management driving digital transformation through data automation. Recently, I completed the development of data ingestion from an API source. Leveraging my Rest API knowledge, I led the API integration project and articulated the entire project for my network for better explanation. 1. Started with requirements gathering and understanding the impact and applications of this project. 2. Studying API docs of the system. 3. Drafting documentation for the scope of the project and deliverables. 4. Understood the API authentication and OAuth for better security. 5. Developed the POC in my local environment. 6. Designing ETL pipeline, though It requires manual intervention. 7. Studying Microsoft Fabric cloud-based data applications and cost to the organisation as Microsoft Fabric application runs on CUs and in the trial version I had an F64 license, more than enough for automating an ETL task. 8. Migrated into Fabric Azure Python Notebooks for ingesting into Azure Data Lakehouse and from Data Lakehouse into the SQL DW for business-wide reporting and processes. What is your recent project you completed? Thanks Tom Deakin for your thoughts and wonderful explanation about Microsoft Fabric Let's connect Mohan S ⚡️ #MicrosoftFabric #ETL #dataproject