Microsoft Fabric Fundamentals: 1 Day Intro Training in Houston, TX

This one-day foundational course introduces you to Microsoft Fabric, a unified analytics platform designed to simplify data engineering, data science, and business intelligence in a single environment. You will explore essential components such as lakehouses, data pipelines, notebooks, and reporting layers, gaining clarity on how Microsoft Fabric streamlines end-to-end analytics. The course combines guided learning with practical demonstrations, helping you understand how data flows through the platform and how each component works together to support modern analytics and reporting needs. Learning Objectives: By the end of this course, you will: • Understand the core components of Microsoft Fabric and how they work together. • Build and manage lakehouses for scalable data storage. • Apply best practices for building efficient analytics workflows. • Create pipelines to automate ingestion and transformation. • Use notebooks for data engineering and exploration tasks. • Develop simple reports and semantic models using Fabric’s analytics layer. • Understand governance, workspace management, and user roles. Target Audience: Data engineers, BI analysts, and Power BI users. Why is it the Right Fit for You? This course is ideal if you want to understand how Microsoft Fabric unifies analytics, engineering, and BI in one platform. The training provides step-by-step clarity on how data is stored, transformed, and visualized, making it easier to build modern analytical solutions. Our hands-on approach ensures you gain real experience with lakehouses, pipelines, notebooks, and reporting features. You will leave with a clear understanding of how to streamline your analytics workflows using Fabric. Whether you're transitioning from traditional tools or enhancing your data stack, this course provides immediate, practical value. ©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.