Data Analytics with Microsoft Fabric and Databricks Course

The Data Analytics with Microsoft Fabric and Databricks program is developed to provide learners with the tools to use two of the top platforms in modern data analytics. Microsoft Fabric offers a comprehensive experience for data integration, engineering, science, and real-time analytics, while Databricks provides an open scalable platform for big data and AI-fueled insights. Overall, these platforms allow professionals to build end-to-end data products that lead to smarter decisions.

Participants will learn by doing, from managing data pipeline strategies, high-level transformations, to optimizing a workflow for intelligent analytics. Topics of discussion will include sample ingestion techniques, large-scale dataset processing, and introduction to machine learning models, as well as working with visuals for business intelligence. In addition to theoretical concepts, learners will see real-world examples and be put into practice labs where they can applying the techniques in their workplace.

Upon completion of this course, participants should be able to confidently utilize Microsoft Fabric and Databricks to develop data solutions that can scale to accommodate growth and operate efficiently utilizing intelligent data. This training will enhance your skills, whether you are a data analyst, engineer, or business professional, and prepare you for the future of innovation with data as your guide. Provided by SSDN Technologies, the best training company, this course will provide you a high-quality education and experience. 


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Learning Options for You

  • Live Training (Duration : 32 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of SQL and Python
  • Familiarity with data analysis or business intelligence concepts
  • Understanding of cloud platforms (Azure preferred) is a plus

Learning Objectives

This course provides practical training on data analytics using Microsoft Fabric and Databricks. Learners will explore data ingestion, transformation, and processing, along with machine learning integration and visualization techniques. Key topics include Lakehouse architecture, Spark on Databricks, Fabric pipelines, real-time analytics, and Power BI reporting. Hands-on labs and projects ensure learners gain the skills to manage end-to-end data analytics workflows effectively.

Target Audience

  • Data analysts and business intelligence professionals
  • Data engineers and scientists working with big data platforms
  • IT professionals aiming to specialize in Microsoft Fabric and Databricks
  • Students seeking hands-on experience in modern data analytics tools

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