Microsoft Fabric Fundamentals: 1 Day Intro Training in Melbourne, VIC

Bring your team and save:

1. Groups of three or more receive a 10% discount

2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs/Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

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.

By the end of this course, you will be able to:

• Understand the core components of Microsoft Fabric and how they work together.
• Build and manage lakehouses for scalable data storage.
• 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.
• Apply best practices for building efficient analytics workflows.

• Data engineers, BI analysts, and Power BI users.

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.

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Looking to train your team in Microsoft Fabric end-to-end analytics?

We offer in-house training tailored to your team’s analytics maturity, data workflows, and tool usage. Whether your organization needs help with data engineering fundamentals, reporting, or unified analytics adoption, we customize the program to match your requirements. Our tailored approach ensures your teams gain practical and scalable skills they can use immediately.

Contact us today to schedule a customized in-house, face-to-face session:

Info: • Overview of the unified analytics platform
• Understanding the architecture and key components
• Fabric workspace environment
• Activity

Info: • Introduction to lakehouse architecture
• Organizing and managing structured/unstructured data
• Working with Delta tables
• Activity

Info: • Building and scheduling data pipelines
• Connecting data sources and transformations
• Monitoring pipeline performance
• Activity

Info: • Using notebooks for data preparation
• Working with Python or SQL inside Fabric
• Executing transformations and validations
• Activity

Info: • Creating semantic models for reporting
• Connecting data to reporting layers
• Understanding how Fabric integrates with Power BI
• Activity

Info: • Understanding event streams
• Managing real-time data workloads
• Visualization options for real-time dashboards
• Case Study

Info: • Managing workspaces and roles
• Data governance, sensitivity labels, and controls
• Access management and compliance considerations
• Activity

Info: • Designing efficient data structures
• Organizing workflows for scalability
• Common mistakes and how to avoid them
• Role Play

Event Venue & Nearby Stays

Regus 120 Collins Street, 120 Collins Street #Levels 31 & 50, Melbourne, Australia

Concerts, fests, parties, meetups - all the happenings, one place.

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