Microsoft Fabric Features and User Experiences

1. Microsoft fabric features and user experiences Microsoft fabric features and user experiences Microsoft Fabric is Microsoft and Azure Data’s new unified data analytics platform, responsible for gathering a range of data toolsets (which are already included in the Azure product suite.) under one roof. Consider it a unified approach to data analysis and insight generation. In the modern era of artificial intelligence, Microsoft Fabric aims to empower data and business professionals to unleash the potential of their data. Everyone, not just data science experts, can now understand analytics thanks to Fabric, which has been transforming the way data is interpreted. This article will help to clarify Microsoft Fabric further, delving into its core features, including OneLake, and the different workloads available on the platform.You will have a current understanding of what Fabric is and its advantages at the end of the article. What is Microsoft Fabric? Microsoft Fabric is an all-in-one analytics platform created for businesses and data professionals. The platform handles everything from data science and real-time analytics to data storage and data migration.It is a unified platform that integrates several technologies and tools into a single solution. The most effective method for conceptualising Fabric is to recognise its goal: simplicity. Organisations can use the technology to integrate data from multiple sources into a single environment. Data workers may concentrate on outcomes rather than the technology they utilise because of this

2. simplicity.Additionally, it eliminates the need for data teams to spend hours differentiating how the licensing for Synapse, Azure Data Factory, andPower BIwill interact with one another. In the context of Microsoft Fabric, what does UNIFIED mean? It all comes down to a shared experience! Regardless of whether you consider a single workspace, a single sign-on, a single storage format, or a single experience for cooperation and security management. This is a high-level summary of our "data team" that works under Fabric: Ok, that is the unification from the service-level perspective. From the professional-level perspective, we can talk about unification from the perspective of different personas in the data world. Do you recall when we discussed the various players belonging to the team? It's possible that some of your BI specialists have experience with classic relational databases. Then, data engineers, data scientists, or data analysts…All these personas can leverage this unified Fabric experience to play to their strengths. Microsoft Fabric Features There are five main areasthe Microsoft team have defined as the differentiators between Fabric and the rest of the market. Those areas include: #1 A complete analytics platform A number of supporting systems are necessary for every Analytic project.These supporting systems oftenpossess a distinct set of needs and frequently need for involvement from multiple vendors. Integrating the Choosing from these suppliers' many products can be challenging, costly, and delicate. Here’s where Microsoft Fabric comes into play. Microsoft Fabric eliminates this issue by giving groups a unified solution that has a consistent architecture, user experience, plus a number of other instruments need to draw conclusions from data and display them. #2 Lake-centric and open Data lakes are often cluttered and intricate, which makes building, integrating, and managing They are a really difficult undertaking. Additionally, there's the problem of data duplication and vendor lock-in that arises once the data lake is operational; this stems from using multiple data products that employ various proprietary data formats on the same data lake. Fabric addresses this issue by introducing a built-in software as a service (SaaS), multi-cloud data lake called “OneLake.” Similarly to how all Microsoft 365 applications are automatically hooked into OneDrive, the entirety of Fabric’s workloads are wired into OneLake. The built-in integration of OneLake helps to eliminate widespread and chaotic data silos which appear when members of the squad configure their own segregated storage accounts. OneLake offers the entire team a single, unified storage unit that simplifies the process of finding and sharing info. #3 Artificial intelligence Azure’s OpenAI service is integrated into Microsoft Fabric to assist users in realising the full value of their data at every level. This integration also permits developers to utilise the potential of generative AI to customer data and assist business users in their pursuit of data insights. Every Microsoft Fabric data experience incorporates Copilot, so users can use conversational language to: • Build machine learning models

3. • Develop dataflows and data pipelines • Generate code and entire functions • Visualize results Users can even design their own unique spoken language experiences by fusing their data with Azure OpenAI Service models and then publish them as plug-ins. #4 Empowerment for all business users When teams in an organisation are empowered to use data to make better decisions, they strive to create a data-driven culture. By enabling everyone access to analytics, Microsoft Fabric contributes to the development of this culture. To be more precise, Fabric has a deep integration with the standard, everyday Microsoft 365 apps. This makes it possible to convert your Microsoft 365 applications becoming a centre for finding and using insights. #5 Cost reduction through unified capacities Significant waste usually results from combining different products from several vendors into a single project. This results from the provisioning of computer capability across several platforms,such as data engineering, data warehousing, and business intelligence.Resources are being squandered because when one of these systems is idle, another system cannot use its capability. Fabricrelieves this issue by simplifying the process of acquiring and overseeing resources. With Fabric, all workloads can be powered by a single pool of computation (e.g., data integration, data science, etc.).This comprehensive approach drastically lowers expenses because any computing resources that are not used by one workload can be employed by another. What now for Azure Synapse Analytics? This query is undoubtedly "a million dollar." Not so long ago Azure Synapse Analytics was hailed by Microsoft as a solution to “unify all your data analytic workloads and enable building end-to-end analytic solution from one central place”. As of today, looks like Dedicated SQL and Serverless SQL pool are somehow integrated into one solution in Fabric (Warehouse). We have traditional structures from the Dedicated SQL pool, such as columnstore indexes (not explicitly, but implicitly through the column store of Parquet format), data cache, etc. At the same time, Warehouse relies on the Polaris engine, which currently powers the Serverless SQL pool. This is an MPP (massively parallel processing) engine, which scalesAUTOMATICALLYto support various data workloads.Put differently, scaling out is now handled by the engine rather than a member of your data team, and there are no longer any DWUs. Other than cost, I don't see any compelling reason for new customers to pick Azure Synapse Analytics over Microsoft Fabric. In certain cases, using DWUs wisely in a dedicated SQL pool in conjunction with a pay-per-query model for the serverless SQL pool may end up being less expensive than Microsoft Fabric. OneLake: The Heart of Fabric At the heart of Microsoft Fabric lies OneLake. OneLake is effectively where all data utilized within Fabric is stored. All of your Fabric workloads are supported by OneLake, which is a single, unified, logical data lake as the name implies. A comparison between OneLake and OneDrive is frequently made. Take Microsoft's statement, for instance: "Factory stores lakehouses, warehouses, and other items in OneLake, much like Office

4. stores Word, Excel, and PowerPoint files in OneDrive." As a result, many have frequently adopted the analogy that OneDrive is to files and OneLake is to data. Prior to the arrival of OneLake, Instead of working together on a single data lake, organisations would usually construct many lakes for various teams, even if this meant managing more resources. OneLake was created to eliminate these difficulties by dismantling data silos and enhancing teamwork by making organisational data management easier. Fabric Workloads and User Experiences Microsoft Fabric comes with multiple workloadswhich are all created with particular personas in mind, that are automatically connected to OneLake to provide a distinct platform experience to every user. These workloads include: Data factory The data factory offers an excessive 150 connectors to cloud and on-premise data sources, The capacity to orchestrate data pipelines, and drag-and-drop experiences for data transformation. Synapse data engineering The data engineering workload has awesome features that are compatible with Fabric, such as Lakehouse. A Lakehouse Within its own workplace, artefact facilitates what Microsoft refers to as "great authoring." experiences” using the Spark engine. Other awesome features include the ability to work together and an immediate start with live pools. Synapse data warehouse Data engineers and analysts get a combined Lakehouse and data warehouse experience from workload in the data warehouse. Their industry-leading (on open data formats), unified, serverless, and dedicated SQL engine is located in the rear of the warehouse. Synapse real-time analytics The real-time analytics Developers can feed data from workload Internet of Things (IoT) devices, telemetry, logs, and more. Additionally, they may examine vast amounts of semi-structured data with high performance and low latency since Kusto Query Langauge (KQL) is at its foundation. Synapse data science The Data Science workload makes it possible for consumers to finish From beginning to end data science process. It accomplishes this by providing data scientists a variety of tools required to build sophisticated AI models, collaborate on projects, and train, deploy, and manage machine learning models. Data Activator Data Activator is an intuitive, no-code interface within Microsoft Fabric, created to take action on its own when certain situations or patterns in changing data are detected. Business Intelligence (Power BI) Fabric's business intelligence task is centred on Microsoft’s industry-leading and AI-driven analytics service,Power BI.This makes it possible for users, including business analysts, to find insights in

5. organisational data. It’s also deeply integrated with Microsoft 365, which means organizations can gain relevant insights directly from any of the 365 products. In conclusion, Microsoft Fabric's unified data platform offers a comprehensive solution for modern businesses, streamlining data integration, analytics, and AI. For a company like IFI Techsolutions, a leader in cloud solutions and Azure services, adopting Fabric would enhance its ability to deliver cutting-edge, scalable, and cost-effective analytics solutions to clients. With Fabric’s unified approach, IFI Techsolutions can help businesses leverage data insights more efficiently, empowering teams across all levels to make smarter, data-driven decisions. IFI Techsolutions Limited | NOIDA B-67, First floor, Sector-65,Noida-201301, Distt: Gautam Budha Nagar,Uttar Pradesh. Call: +91-8586000434