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Microsoft Fabric
End-to-end data & analytics platform
Microsoft Fabric is an enterprise-ready, end-to-end analytics platform that unifies data movement, processing, ingestion, transformation, real-time event routing, and report building. It supports these capabilities with integrated services like Data Engineering, Data Factory, Data Science, Real-Time Intelligence, Data Warehouse, and Databases. Built on a Software as a Service (SaaS) platform, Fabric integrates components from Power BI, Azure Synapse Analytics, Azure Data Factory, and more into a single environment. This seamless integration provides a cohesive stack that centralises data storage with OneLake and embeds AI capabilities, eliminating the need for manual integration. With Fabric, organisations can efficiently transform raw data into actionable insights, enhancing productivity, data management, and AI integration.
Microsoft Fabric offers several key benefits and features that make it a powerful analytics platform. It provides end-to-end integrated analytics, ensuring a consistent and user-friendly experience. One of its standout features is OneLake, a unified data lake that simplifies data management and access. Additionally, Fabric includes AI-enhanced capabilities to accelerate the data journey, and it centralises administration and governance, making it easier to manage data and ensure compliance.
Streamline your access to business insights
The key elements of microsoft fabric
With regular updates and new features, Microsoft 365 continues to evolve, ensuring that it remains at the forefront of modern workplace technology, helping users adapt to the ever-changing digital landscape while fostering innovation, collaboration, and efficiency.
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01 OneLake
Single, unified, logical data lake designed to be the central repository for all your organisation's analytics data. It simplifies data management by providing a seamless experience for storing, accessing, and governing data across various domains, much like OneDrive does for files. OneLake comes automatically with every Microsoft Fabric tenant, eliminating the need for additional infrastructure management and ensuring that all analytics data is centralised and easily accessible.
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02 Data Engineering
Enables users to design, build, and maintain infrastructures and systems that allow organisations to collect, store, process, and analyse large volumes of data. It includes capabilities like creating and managing data using a lakehouse, designing pipelines to copy data into the lakehouse, and using Spark job definitions and notebooks for data ingestion, preparation, and transformation.
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03 Data Factory
Provides cloud-scale data movement and data transformation services that allow you to solve complex data integration and ETL scenarios. It offers a modern data integration experience to ingest, prepare, and transform data from a rich set of data sources, making it easy to use, powerful, and truly enterprise-grade.
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04 Data Science
Empowers users to complete end-to-end data science workflows for data enrichment and business insights. It supports activities from data exploration, preparation, and cleansing to experimentation, modelling, model scoring, and serving predictive insights to BI reports.
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05 Real-Time Intelligence
Powerful service that enables organisations to extract insights and visualise data in motion. It offers an end-to-end solution for event-driven scenarios, streaming data, and data logs, handling data ingestion, transformation, storage, analytics, visualisation, tracking, AI, and real-time actions.
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06 Data Warehouse
next-generation data warehousing solution built on an enterprise-grade distributed processing engine. It enables seamless collaboration between data engineers and business users, supports open data formats, and integrates tightly with Power BI for easy analysis and reporting.