Microsoft Fabric | A single AI-powered platform.

Experience next gen analytics.

Bring your data into the era of AI

Microsoft Fabric is an end-to-end, unified analytics platform designed to simplify and streamline data management, analytics, and business intelligence. It integrates various data services into a single environment, allowing users to work with data from ingestion to insights across data engineering, data science, real-time analytics, and business reporting.

Microsoft Fabric is built to simplify complex data landscapes, providing an integrated solution for organizations looking to unify data operations, enhance analytics, and leverage AI in a scalable cloud environment.

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Microsoft Fabric

All the tools you know, combined and connected in one platform.

Tons of possibilities,

how you can use Microsoft Fabric

Data Integration

Microsoft Fabric provides seamless data integration by unifying multiple services like Azure Data Factory, Synapse, and Power BI within a single platform. It enables easy data movement from diverse sources into OneLake, supports no-code/low-code data flows, and ensures consistent transformation, processing, and governance across the entire data lifecycle.

Unified Platform

The unified platform in Fabric combines multiple data services, including data engineering, machine learning, and business intelligence, into one cohesive environment. It simplifies workflows by integrating tools like OneLake, Power BI, and Azure Synapse, allowing seamless data management, transformation, and analytics across all stages of the data lifecycle.

Data Engineering

Data engineering in Fabric combines tools like Apache Spark and Azure Synapse to streamline data processing, transformation, and preparation. It enables the creation of scalable data pipelines, automation of workflows, and seamless integration with OneLake, allowing users to manage large datasets efficiently and prepare data for analytics and machine learning.

Collaboration

Collaboration is supported through shared workspaces, where teams can access, modify, and work on datasets, reports, and models in real-time. Integrated tools like Power BI, data engineering, and machine learning facilitate seamless teamwork, allowing users to collaborate on projects, share insights, and maintain version control within a unified platform.

Data Sharing

Data sharing is facilitated through seamless integration across the platform, allowing users to share datasets, reports, and insights securely within and outside the organization. It ensures controlled access, enabling collaboration on shared data while maintaining governance and security. This feature enhances transparency and teamwork while safeguarding sensitive information.

OneLake

OneLake acts as a unified data lake, centralizing all organizational data in one repository. It simplifies storage and management of both structured and unstructured data, offering real-time analytics capabilities. Integrated with tools for data engineering, machine learning, and reporting, OneLake ensures seamless data access and efficient utilization across the platform.

No-Code/Low-Code Integration

Fabric leverages a no-code/low-code platform to empower users with minimal technical expertise to build data pipelines, perform transformations, and create reports. With intuitive drag-and-drop interfaces and pre-built templates, users can easily integrate, process, and visualize data without writing complex code, accelerating productivity and collaboration across teams.

Data Science

Data science capabilities in Fabric integrate machine learning models and advanced analytics into the platform, enabling users to build, train, and deploy predictive models.

It leverages tools like Azure Machine Learning and built-in AI features to analyze large datasets, uncover insights, and drive data-driven decision-making across organizations.

Direct Lake Mode

Direct Lake Mode enables users to query data directly from OneLake without needing to move or replicate it.

This feature ensures high performance by reducing data duplication, accelerating access to large datasets, and simplifying the process of analytics and reporting. It optimizes both storage efficiency and query speed.

Data Visualization

Data visualization is powered through seamless integration with Power BI, enabling users to create interactive dashboards, reports, and visual analytics directly from datasets in OneLake. This enhances the ability to explore insights, identify trends, and make data-driven decisions, with intuitive, user-friendly interfaces that cater to both technical and non-technical users.

Power BI Integration

Power BI integrates seamlessly within the Fabric ecosystem, enabling users to create, visualize, and share data insights directly from OneLake. Reports and dashboards can be built using live data, ensuring real-time updates.

This integration allows users to perform advanced analytics and collaborate effectively within a unified environment.

Auto-Scaling

Auto-scaling automatically adjusts compute and storage resources based on workload demand. During peak usage, it allocates more resources for efficient data processing, while reducing them during off-peak times to optimize costs. This ensures consistent performance without manual intervention, making it easier to manage large-scale data operations and analytics.

Real-Time Analytics

Real-time analytics in Fabric enables instant data processing and visualization by connecting to live data streams. It allows users to track and analyze key metrics as they occur, providing up-to-date insights for faster decision-making. This capability supports time-sensitive applications, improving operational efficiency and responsiveness across organizations.

DataFlow Gen2

DataFlow Gen2 enhances data transformation by offering improved performance, scalability, and flexibility. It simplifies complex ETL processes with an intuitive, no-code interface, enabling users to design and automate data flows. With increased efficiency, DataFlow Gen2 handles large datasets seamlessly, making it easier to prepare and transform data for analytics.

Real-Time Collaboration

Real-time collaboration is enabled through shared workspaces where teams can simultaneously access, edit, and work on data, reports, and models. Integrated tools allow users to comment, track changes, and collaborate on projects seamlessly, ensuring that all team members stay aligned and can make data-driven decisions together in real time.

Let us help you with your

Microsoft Fabric environment.

MS Fabric | Power BI

Wether you use Power BI as a stand-alone solution or as part of Microsoft Fabric, we can can help your in any aspect from data transport and transformation to Power BI Dashboards.

Consulting

Our experienced consultants and project managers are happy to help you implement any Microsoft Fabric projects you may have in mind or in your pipeline.

Development

You don't want to develop your Microsoft Fabric environment, data transports/ transformation, data models and dashboards yourself? We can do it for you.

Support

If you have any problems or questions, our support team will help you quickly and easily.

By phone, email or in a personal online call.

Training

Our Microsoft Fabric Trainings are very hands-on for your quick start into Power BI and the connected processes to load and transform your data.

Scaling

Optimising your Microsoft Fabric environment becomes simple and straightforward with our support. We fix performance issues and bottlenecks in your ETL process.

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Microsoft Fabric

Microsoft Fabric

A unified analytics platform for Data Management, Analytics and BI.