IT Microsoft Fabric: Unifying Data for Intelligent Insights

Course Code: ClaTech7154

Duration

1 Day(s)

Course Type

Public or Private

Max Delegates

12

Delivery Style

Classroom

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Harness the Power of Microsoft Fabric to Simplify and Strengthen Your Data Strategy

Microsoft Fabric is a comprehensive, cloud-based data platform that unifies every stage of the data lifecycle — from ingestion and transformation to analytics and visualisation. Delivered as Software as a Service (SaaS), Fabric brings together tools like Data Factory, Data Engineering, Data Warehousing, and Power BI into a single, integrated environment. This one-day course provides a practical, high-level introduction to Microsoft Fabric, equipping participants with the knowledge to understand its capabilities and strategically leverage it within their organisations.

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Descriptions

Who is this course for

This course is designed for IT professionals, data engineers, business intelligence specialists, analysts, and anyone responsible for managing or working with organisational data. It’s also ideal for decision-makers evaluating Microsoft Fabric as a data platform solution.

Purpose of the course

The course aims to provide a foundational understanding of Microsoft Fabric, helping participants explore how it consolidates data systems and services into a single, cohesive platform. Attendees will gain insights into data storage, processing, transformation, reporting, pricing, and governance — enabling more efficient and intelligent use of enterprise data.

You will learn how to

Learning Objectives



  • Explain the purpose and core components of Microsoft Fabric

  • Understand Fabric’s pricing model for compute and storage

  • Describe storage options using OneLake, Data Warehouses, and Lakehouses

  • Build data ingestion and transformation workflows using Pipelines and Dataflows

  • Design data architectures suited to various analytical use cases (AI/ML, BI, etc.)

  • Recognise key security considerations and Purview integration for compliance

Benefits for you as an individual

By attending this course, individuals will develop a clear understanding of how Microsoft Fabric brings together diverse data tools and services into a unified platform. Participants will learn to navigate key components such as OneLake, Data Factory, and Lakehouse, and understand how to use them effectively within a modern data architecture. The course will build confidence in designing solutions that support reporting, analytics, machine learning, and AI. Delegates will also gain valuable insights into managing costs, optimising performance, and ensuring data security within the Fabric ecosystem — skills that are immediately applicable in data-driven roles.

Benefits for your organisation

Organisations that adopt Microsoft Fabric benefit from greater alignment across data teams, improved data accessibility, and a more efficient analytics pipeline. This course helps organisations empower their workforce with the knowledge to streamline data ingestion, transformation, and reporting through a single, integrated platform. By developing internal capability in Fabric, organisations can reduce the time and cost associated with managing separate data systems, improve data governance with Microsoft Purview, and make more informed decisions through faster access to high-quality data. Ultimately, it supports a data strategy that is agile, secure, and ready for future innovation.

Fabric Introduction

  • Purpose and capabilities of Microsoft Fabric
  • Types of data: structured vs. unstructured
  • Unified storage with OneLake
  • Key components: Data Factory, Data Engineering, Data Warehouse, Data Science, Power BI

Fabric Pricing

  • Compute pricing: bursting and smoothing
  • Storage pricing
  • Monitoring spend with the Fabric Capacity Metrics App
  • Cost optimisation strategies

Storage Options in Fabric

  • Data Lakes and Delta Lakes
  • Delta Tables and Data Lakehouse architecture
  • Data Warehouses for structured storage

Data Ingestion and Transformation

  • Using Pipelines for data ingestion
  • Transforming data with Dataflows
  • Apache Spark integration using Notebooks and Spark SQL

Preparing Data for Reporting and Analytics

  • Architecture best practices
  • Introduction to medallion architecture
  • Use cases for AI, Machine Learning, Data Science, and Power BI

Security and Governance

  • Authentication with En

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