
Datagran
The all-in-one low-code data workspace for integration, transformation, and AI automation.

An all-in-one analytics solution covering everything from data movement to data science, Real-Time Analytics, and business intelligence.

Microsoft Fabric is an end-to-end data analytics platform designed to simplify the analytics needs of organizations. It integrates data engineering, data warehousing, data science, real-time analytics, and business intelligence into a unified environment. Fabric leverages a lake-centric architecture, using OneLake as its foundational storage layer, ensuring data consistency and governance across all workloads. It offers compute engines optimized for different tasks, such as Spark for data engineering and data science, SQL for data warehousing, and KQL for real-time analytics. The platform supports Power BI integration for visualization and reporting. Fabric also incorporates AI capabilities, including automated machine learning and AI-driven insights, to accelerate data analysis and decision-making. It is designed to scale from individual users to large enterprises.
Microsoft Fabric is an end-to-end data analytics platform designed to simplify the analytics needs of organizations.
Explore all tools that specialize in orchestrate data workflows. This domain focus ensures Microsoft Fabric delivers optimized results for this specific requirement.
Explore all tools that specialize in real-time analytics. This domain focus ensures Microsoft Fabric delivers optimized results for this specific requirement.
A single, unified data lake for all Fabric workloads, eliminating data silos and ensuring data consistency.
Apache Spark-based data engineering capabilities for data transformation and processing at scale.
A fully managed data warehouse with SQL-based querying and optimized performance for analytical workloads.
Kusto Query Language (KQL) based analytics engine for real-time data exploration and analysis.
Seamless integration with Power BI for data visualization and reporting.
Create a Microsoft Fabric account.
Provision a OneLake instance.
Connect to data sources using data pipelines.
Transform data using Spark or SQL.
Build data models in the data warehouse.
Develop Power BI reports and dashboards.
Deploy machine learning models using SynapseML.
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