Microsoft Fabric_

Centralise your data and empower teams to get full visibility to the insights that drive accurate, strategic decision-making and faster workflows.

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What is Microsoft Fabric? 

Microsoft Fabric is an end-to-end analytics and data platform designed to unify data, AI and analytics tools for enterprises. It integrates various components such as data movement, processing, ingestion, transformation, real-time event routing and report building into a single, cohesive platform. 

One of the key features of Microsoft Fabric is OneLake, a unified data lake that centralises data storage and management. This allows organisations to work from a single copy of data across different analytics engines and languages, minimising data duplication and movement. It also integrates various data services such as Power BI, Azure Synapse Analytics and Azure Data Factory. 

Additionally, Fabric incorporates AI capabilities directly into the platform, enabling users to transition raw data into actionable insights efficiently so you can easily interpret and act upon data. 

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Why use Microsoft Fabric? 

Many organisations struggle with data silos, leaving teams without the information they need to make the best possible choices. Using Microsoft Fabric enables you to streamline data and analytics processes, through a unified platform. This improves data visibility and efficiency. 

Another significant benefit of Microsoft Fabric is its AI-driven capabilities. The platform incorporates advanced AI and machine learning features that automate repetitive tasks and provide real-time insights. This enables faster, data-driven decision-making, as users can quickly transition from raw data to actionable insights. 

The platform also enhances collaboration and governance within organisations. By integrating seamlessly with Microsoft 365 tools, it fosters better collaboration among team members and centralised administration for better data security. 

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What are the benefits of Microsoft Fabric? 

Unified platform: Integrate various data services into a single platform, simplifying the analytics workflow and reducing complexity 

AI-driven: With advanced AI and machine learning features, automating repetitive tasks and providing real-time insights, which enhances productivity and decision-making 

Centralise data management: Centralise data storage and management, reducing data duplication and ensuring easy access to data 

Scalability: The platform can scale to accommodate your business’s evolving needs of a business, making it suitable for organisations of all sizes 

Reduce costs: Consolidate multiple data services into one platform, reducing the need for separate, costly tools and services 

Enhance collaboration: Seamless integration with Microsoft 365 tools fosters better collaboration among team members, improving overall productivity 

Improve data governance: Centralise administration and governance features, ensuring that data is managed securely and compliantly 

Faster time-to-insights: Integrated analytics capabilities enable quicker transition from raw data to actionable insights, helping organisations make informed decisions faster 

How do Infinity Group deploy Microsoft Fabric? 

Microsoft Fabric works best when your data is in good shape. We’ll work with you to prepare you data, including understanding what you have, where it’s stored and what quality it is.  

Where there are gaps or issues with your data, we can help you to get it in a better, more complete state. And if there isn’t information you’d like, but don’t have access to, we can identify where to get it from. We can also configure the right logic to add meaning to your data and provide the insights you need to make progress. 

Fabric can then pull together data from all the relevant sources, giving you everything you need at your fingertips. We can also build report and visualisations for you, making it easier to share data at various business levels and make sense of it. Finally, we’ll support you through the migration process to Fabric, ensuring all your data is moved effectively and securely. 

Microsoft Fabric key features_ 

Unified data platform: Microsoft Fabric integrates various data services like Power BI, Azure Synapse Analytics, and Azure Data Factory into a single platform 

OneLake: A unified data lake that centralises data storage and management, allowing organisations to store all their data in one place, making it easier to access 

AI integration: Advanced AI capabilities enable users to automate repetitive tasks and gain real-time insights 

Role-specific workloads: Microsoft Fabric offers customised solutions tailored to various roles, ensuring each user has access to the necessary tools and features 

Microsoft Fabric FAQs_

How does Microsoft Fabric integrate with existing Microsoft services? 

Microsoft Fabric seamlessly integrates with a range of existing Microsoft services, including Power BI, Azure Synapse Analytics, and Azure Data Factory. This integration allows users to leverage their existing investments in Microsoft technologies while benefiting from the unified analytics capabilities of Fabric.

For example, Power BI users can use Fabric to enhance their data visualisation and reporting capabilities by accessing a centralised data lake and advanced AI features. Similarly, Azure Synapse Analytics users can benefit from Fabric’s data integration and transformation capabilities, streamlining their data workflows. The integration with Azure Data Factory enables users to automate data movement and transformation processes, ensuring that data is always up-to-date and ready for analysis. By bringing together these services, Microsoft Fabric provides a comprehensive and cohesive platform for managing and analysing data, reducing the need for multiple, disparate tools.

How does Microsoft Fabric handle data security and compliance? 

Microsoft Fabric is designed with robust security and compliance features to ensure that data is protected and managed according to industry standards. The platform offers centralised administration and governance capabilities, allowing organisations to define and enforce data access policies across their data assets. This ensures that only authorised users can access sensitive data, reducing the risk of data breaches.

Fabric also supports encryption of data at rest and in transit, providing an additional layer of security. Compliance with industry standards and regulations is a key focus of Microsoft Fabric, and the platform includes features to help organisations meet their compliance requirements.

For example, Fabric provides audit logging and monitoring capabilities, enabling organisations to track data access and usage. Additionally, the platform supports data classification and labelling, helping organisations manage and protect sensitive data according to their compliance policies.

What is the pricing model for Microsoft Fabric? 

Microsoft Fabric operates on a Software as a Service (SaaS) model, with pricing based on the consumption of resources. The platform offers a flexible pricing structure that allows organisations to pay for only the resources they use, making it cost-effective for businesses of all sizes. Pricing is typically based on factors such as data storage, data processing and the number of users accessing the platform. 

What are the AI capabilities in Microsoft Fabric? 

Microsoft Fabric incorporates advanced AI and machine learning features that automate repetitive tasks and provide real-time insights. These capabilities include predictive analytics, anomaly detection and natural language processing. By leveraging AI, users can quickly transition from raw data to actionable insights, enhancing productivity and decision-making. The platform’s AI-driven features also offer intelligent suggestions and automate routine processes, allowing users to focus on more strategic tasks. 

How does Microsoft Fabric support real-time analytics? 

Microsoft Fabric supports real-time analytics through its integration with Azure Synapse Analytics and other real-time data processing tools. The platform enables users to ingest, process and analyse streaming data in real-time, allowing for immediate insights and actions. This capability is crucial for scenarios where timely data analysis is essential, such as monitoring IoT devices, tracking financial transactions, or analysing social media trends. By leveraging real-time analytics, organisations can make faster, data-driven decisions and respond promptly to changing conditions. 

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