Microsoft Fabric – Transform How Your Business Uses Data
What is Microsoft Fabric?
Microsoft Fabric is an all-in-one data and analytics platform from Microsoft Azure. It brings together data engineering, real-time analytics, machine learning, and business intelligence under one roof—making data accessible, actionable, and secure.
Break Down Data Silos
Simplify Data Management
Empower Data Democratization
Fuel AI & Machine Learning
Collaborate Seamlessly
Unify Your Data and Empower Decisions with Microsoft Fabric
Data Factory
Simplify data integration with Power Query’s ease and Azure Data Factory’s scalability. Automate data ingestion, transformation, and orchestration across multiple sources for streamlined workflows.
Data Science
Build, train, and deploy machine learning models seamlessly within Fabric. Integrate with Azure Machine Learning for experiment tracking, model registry, and operationalization of predictive analytics.
Real-Time Analytics
Analyze streaming data from apps, IoT devices, and user interactions instantly. Gain actionable insights in real time to improve operations, enhance customer experiences, and drive innovation.
Power BI
Access and visualize all your data quickly with Power BI. Create interactive dashboards and reports that empower decision-makers to turn raw data into actionable insights across the organization.
Embrace a Data-Driven Future with Microsoft Fabric Data Stores
- Lakehouse
- Lakehouse SQL Endpoint
- KQL Database
- Unified Storage for structured, semi-structured, and unstructured data in one location.
- Built on Delta Lake format, ensuring compatibility and consistency across Fabric engines.
- OneLake Architecture eliminates data duplication and simplifies data access.
- Highly Scalable to handle massive datasets for enterprise-grade workloads.
- Supports multiple frameworks like Spark, SQL, and ML for advanced analytics.
- Enables data versioning and ACID transactions for reliability.
- Ideal for data lakehouse architecture combining flexibility of lakes with performance of warehouses.
- Automatically creates a SQL analytics endpoint and semantic model for reporting.
- Provides direct access to Delta tables, enabling frictionless querying.
- Supports stored procedures, views, and indexing for optimized performance.
- Allows creation of data models similar to Analysis Services and Power BI.
- Save and share SQL queries across workspaces for collaborative analytics.
- Integrates with AI/ML workflows using Spark notebooks for predictive insights.
- Offers role-based access control for secure data operations.
- Enables real-time query execution for faster decision-making.
- Designed for real-time analytics on observational and streaming data.
- Handles data from apps, IoT devices, sensors, and user interactions.
- Provides fast query execution using Kusto Query Language (KQL).
- Ideal for monitoring, anomaly detection, and operational intelligence.
- Supports time-series analysis for trend identification and forecasting.
- Enables instant dashboards and alerts for proactive decision-making.
- Scales to process billions of events per day without performance degradation.
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