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    Microsoft Fabric was recently announced as the Microsoft suite for an end-to-end analytics software-as-a-service offering by Microsoft. As the suite covers many components and workloads, it is essential to have the right training to ensure the proper use of the technology in the correct setup and architecture. RADACAD has helped many organizations, businesses, and individuals worldwide with analytics upskilling over many years. RADACAD not only has the most comprehensive training on Microsoft Power BI, but we also have designed and developed an exclusive training program for Microsoft Fabric that covers all the workloads of Fabric from data engineering, warehousing, data science, integration, Business Intelligence, real-time, storage engine, governance, Data Activator, administration, and architecture. This training combines lecture and hands-on lab experience with Microsoft Fabric.


    Welcome to the comprehensive course on Microsoft Fabric! In this course, you will embark on a journey from the basics to advanced concepts, gaining practical knowledge and skills that will empower you in the realm of data science, data engineering, and real-time data analytics. With a strong focus on Microsoft Fabric, this course provides you with the tools and techniques to leverage the power of Fabric for end-to-end analytics.

    Throughout the course, you will delve into the world of data engineering, learning how to efficiently transform, process, and analyze vast amounts of data using Microsoft Fabric. You will explore various data engineering techniques, including data warehousing, data pipelines using Data Factory, and parallel processing with Apache Spark. Gain hands-on experience as you navigate real-world scenarios and challenges, equipping you with the expertise to tackle complex data engineering projects.

    Frequently Asked Questions

    Microsoft Fabric is a platform that offers a scalable and dependable infrastructure for the development and administration of distributed applications.

    Microsoft Fabric provides a range of features, including automatic scaling, fault tolerance, service discovery, and load balancing, all of which are designed to support distributed applications.

    By leveraging the Microsoft Fabric Training course, organisations can enhance the development and deployment of applications, ensuring high availability and scalability. This, in turn, results in improved reliability, performance, and cost efficiency.

    Microsoft Fabric Training course is designed to provide individuals with the comprehensive skills and knowledge required for effective utilisation and management of Microsoft Fabric within their organisations.

    Microsoft Fabric training covers a range of subjects, including architecture, deployment, management, scalability, troubleshooting, and best practises for using Microsoft Fabric.


    Duration of Microsoft Fabric Training typically varies, but it generally spans from a few days to a week, depending on the specific programme.

    What is included in the training?

    In this training, you will learn about all components of Microsoft Fabric. You will learn about workloads such as Data Integration using Data Factory, Data Engineering, Data Warehousing, Data Science using Synapse, Business Intelligence using Power BI, Real-time Analytics, Data Activator, storage Engine using OneLake, governance, administration, and architecture.

    This training will teach you how these workloads work together to build a data analytics solution. You will learn the differences between objects and components and their pros and cons in different usage scenarios. This training not only explains the products, services, and features but also focuses heavily on how they can be used in real-world solutions and what are best practices and use-case scenarios.

    At the end of this training, you will be able to design the architecture of data analytics solutions for your organization using Microsoft Fabric. You will know how to design and build the solution. You will have enough hands-on experience to get your hands dirty with your own data and start developing your solution without further delay.

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