Microsoft Fabric

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

Confident use of Fabric - You will learn to navigate Microsoft Fabric with confidence, understand its architecture, choose the right tools, and design cloud-based analytics solutions more effectively.

Hands-on Lakehouse work - You will gain practical Lakehouse skills, so you can ingest, organize, and transform data in one environment that is ready for further analysis and reporting work.

Data analysis with Spark - You will learn how to use Apache Spark in Microsoft Fabric, write code for data processing, and build visualizations that help you interpret larger datasets more clearly.

Building Delta Lake tables - You will learn how to create and use Delta Lake tables, helping you structure data better, maintain consistency, and prepare a reliable foundation for analytics tasks.

Designing data warehouses - You will understand the basics of building data warehouses in Microsoft Fabric, transforming data, running analyses, and creating reports that support business decisions.

Real-time analytics skills - You will understand how to work with real-time analytics, use the database layer, and write SQL queries so you can respond faster to events and live business indicators.

Preparing data for models - You will practice cleaning and transforming data before modeling, so you can build stronger input datasets and reduce issues that negatively affect model performance.

Managing the model lifecycle - You will learn model registration and MLflow in Microsoft Fabric, enabling you to control versions, track experiments, and monitor machine learning models more effectively.

Training programme

1. Introduction to Microsoft Fabric

introduction,
architecture and key features,
overview of tools,
application.

2. Lakehouses Service

introduction,
working with the service,
exporting and transforming data.

3. Apache Spark Platform

introduction to using the platform,
platform code,
working with data,
data visualization.

4. Working with Delta Lake tables

discussion of the service,
creating tables.

5. Data warehouses in Microsoft Fabric

introduction,
basics of data warehouses,
data transformation,
data analysis,
reporting.

6. Real-time analytics in Microsoft Fabric

database,
queries in SQL language.

7. Data preparation for modeling

data cleaning and transformation,
techniques and tools for data preparation.

8. Model registration

registering models in Microsoft Fabric,
version management.

9. MLflow Library

library functions,
application in model monitoring.

10. Image Analysis – Azure Cognitive Services

11. Speech processing

What are the prerequisites for participating in the training?

Basics of working with data - You should be comfortable working with tables, files, and basic data structures so you can complete exercises focused on transforming and analyzing information.

SQL fundamentals - You should know basic SQL, including simple queries, filtering, and joins, because the training includes database work and writing SQL-based data queries.

Core analytics concepts - You should understand basic analytics terms such as reports, data models, transformations, and visualizations to connect the training topics more easily.

Confidence in technical tools - You should be comfortable using computer tools and web interfaces so you can complete practical tasks smoothly in the Microsoft Fabric environment.