Transform how your team connects, analyzes, and acts on data with Microsoft Fabric.
AxionCloud and Microsoft bring you one intelligent platform that transforms how your team engages with data—from access to insight to action.
What is Microsoft Fabric?
Microsoft Fabric, delivered by AxionCloud, is a unified data and analytics platform built on Microsoft Azure. It consolidates a wide range of tools and services—enabling businesses and data professionals to manage everything from data science and real-time analytics to storage and migration in one seamless solution.
With Microsoft Fabric, you can:
Break down data silos
Unify data from on-premises systems, cloud platforms, and third-party apps into a single, centralized repository.
Simplify data management
Simplify data ingestion, preparation, and governance through intelligent automation and seamless workflows
Empower data democratization
Empower everyone to explore and understand data with intuitive dashboards and self-service analytics tools.
Fuel AI and machine learning
Harness advanced AI to create intelligent models, automate workflows, and generate predictive insights.
Collaborate seamlessly
Enable data-driven decisions across your organization with secure, collaborative workspaces.
Unify your data and drive smarter decisions with integrated Microsoft Fabric components.
Microsoft Fabric redefines how you work with data. It flexes to fit diverse formats and analytical goals, and its built-in security ensures your data stays safe and compliant.
Data Engineering
Offers a powerful Spark environment and seamless authoring experience—enabling data engineers to transform massive datasets with speed and precision.
Data Factory
Offers the best of both worlds—Power Query’s simplicity and Azure Data Factory’s enterprise-grade performance.
Data Science
Build, deploy, and manage ML models effortlessly within Fabric, with Azure Machine Learning integration for streamlined tracking and registry.
Data Warehouse
Experience unmatched SQL speed and scale with Fabric’s Data Warehouse—built for high-performance analytics at any size.
Real-Time Analytics
Collected from apps, connected devices, and everyday interactions, observational data offers rich insights into user behavior and operational patterns.
Power BI
Empowers business leaders with quick, user-friendly access to Fabric’s full data landscape—so they can make confident decisions backed by real insights.
Embrace a Data-Driven Future with Microsoft Fabric Data Stores
In Microsoft Fabric, data is stored in Lakehouses for flexible analytics, Warehouses for structured SQL performance, and KQL databases for fast log and telemetry queries.
- Supports unstructured, semi-structured, and structured data, with SQL Endpoints offering flexible access and management using familiar SQL syntax.
- Microsoft Fabric Lakehouse is a unified data architecture that enables you to store, manage, and analyze both structured and unstructured data in one centralized environment.
- It’s a flexible, scalable solution that enables organizations to manage large volumes of data using a wide range of tools and frameworks for processing and analysis.
- Fabric standardizes on the Delta Lake format, allowing all its engines to access and manipulate shared datasets in OneLake—without the need for duplication.
- Upon creation, the Lakehouse automatically generates a SQL analytics endpoint and a default semantic model—establishing a ready-to-use serving layer.
- This new see-through capability enables users to interact directly with Delta tables in the lake—delivering a seamless, high-performance experience from data ingestion to reporting.
- With SQL Endpoint in Lakehouse, you can define stored procedures and views—streamlining complex queries and promoting consistent data access.
- You can create data models directly at the SQL Endpoint in Fabric—just like in Analysis Services and Power BI.
- SQL queries can be saved and shared within the workspace, allowing other users to access and reuse them easily.
- Enables direct AI and machine learning integration through Spark Notebooks—streamlining model development and deployment within the data platform.