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MICROSOFT FABRIC TRAINING COURSE
UNLOCK THE FULL POTENTIAL OF YOUR DATA WITH OUR MICROSOFT FABRIC TRAINING
COURSE. LEARN TO SIMPLIFY DATA MANAGEMENT THROUGH A UNIFIED DATA PLATFORM,
HARNESS THE POWER OF AI AND ADVANCED ANALYTICS, AND STREAMLINE DATA PROCESSING
FOR REAL-TIME DECISION-MAKING.
"Our tailored course provided a well rounded introduction and also covered some
intermediate level topics that we needed to know. Clive gave us some best
practice ideas and tips to take away. Fast paced but the instructor never lost
any of the delegates"
Brian Leek, Data Analyst, May 2022
PUBLIC COURSES
16/12/25 - 2 days
£1495 +VAT
Enrol
24/02/25 - 2 days
SEE PRICES £1495 +VAT
Enrol
07/04/25 - 2 days
£1495 +VAT
Enrol
CUSTOMISED COURSES
* Train a team
* Tailor content
* Flex dates
SEE PRICES From £1200 / day
Quote
Highlights Details Audience Feedback Prices/Dates
Public Courses
Customised Courses
--------------------------------------------------------------------------------
HIGHLIGHTS
Fabric Training:
* Introduction to Microsoft Fabric
* Training on Microsoft Fabric Foundation
* Data Engineering - OneLake & LakeHouse plus ETL
* Explore Data Factory Introduction & End-to-End build
* Hands-on experience in data movement and data science
* Real-time analytics applications covered
* Practical exercises in data engineering
* Overview of Data Science & Data Management
* Seamless integration of diverse data sources
With hands-on exercises and expert guidance, you'll gain proficiency in managing
data lakes, executing data engineering tasks, and seamlessly integrating data
sources. Elevate your skills and empower your career with our Fabric training
course.
COURSE DETAILS
Introduction to Fabric
* Introduction and Learning objectives
Microsoft Fabric Foundation
* Overview of Microsoft Fabric
* Lakehouse vs Warehouse
* Fabric License Types
* Getting-Started
* Concept of Workspaces
* Create & Configure Workspace Access
* Workspace Settings
Data Engineering - OneLake
* Introduction to Data Engineering in Fabric.
* Introduction to OneLake
* Lakehouse
* Delta Lake
* OneLake Explorer
* Authentication and Authorization
* Monitoring Hub and Data Hub
Data Engineering - Lakehouse
* Introduction
* Architecture
* Distinctions between Lakehouse & Warehouse
Data Engineering - ETL with Lakehouse
* What is Spark?
* Notebook Overview
* Web based and VS Code Notebooks
* Spark + Monitoring Spark Jobs
Data Warehouse - Serverless Engine
* Warehouse-SQL Scripts
* Default Dataset and Modelling
* Ingest Methods
* Load Data Introduction
* Load Data into Lakehouse
* Load Data Using Data Pipeline Part 1
* Load Data Using Dataflows
* Load Data Using Data Pipeline Part 2
* Models and Power BI reports
* Cross-database Queries
* Roles + Permissions (RLS, CLS)
* Manage Performance
* Warehouse-SQL Scripts
Overview of Real-Time Analytics
* Real-Time Analytics - KQL Scripts
* SQL vs KQL Introduction
* Create, Process and Monitor
* KSQL Queryset
* KSQL Database
* KSQLmagic
* Spark
* Real-Time Analytics - KQL Scripts
Data Factory Introduction
* What is Data Factory?
* Data Flows and Pipelines
* Architecture
* Workspace Setup
Data Factory End-to-End Build
* Control Table and Copy Data
* Metadata Copy Pattern
* Script Activity
* Data Flows Gen2
* Execute Pipeline
* Shortcut to Other Workspaces
* Notebooks
* Data Flow Gen2 Transformations
* Pipelines, Notebooks and Parameters
* Monitoring Notebooks in Pipelines
Overview of Data Visualization with Power BI
* Power BI and Fabric
* Version Control
* Direct Lake
Overview of Data Science
* Data Science - Resources
* What is Data Science?
* The Data Science Process
* Items and Models
* Excercise
* Model Management
* Data Science - Resources
Overview of Data Management
* Introduction
* Access Control
* Governance
* Monitoring
--------------------------------------------------------------------------------
WHO SHOULD ATTEND
* Data analysts, Data engineers, Data Architects, Business intelligence
professionals with some experience in Power BI, Python, Spark
* Companies that are using Power BI
* Data scientists
* IT professionals working with enterprise analytics
* Professionals seeking to enhance their skills in data management and
analytics
* All Delegates should have experience in Power BI and ideally some
understanding of Python, Spark
--------------------------------------------------------------------------------
FEEDBACK
4.8 OUT OF 5 AVERAGE
"Our tailored course provided a well rounded introduction and also covered some
intermediate level topics that we needed to know. Clive gave us some best
practice ideas and tips to take away. Fast paced but the instructor never lost
any of the delegates"
Brian Leek, Data Analyst, May 2022
“JBI did a great job of customizing their syllabus to suit our business needs
and also bringing our team up to speed on the current best practices. Our teams
varied widely in terms of experience and the Instructor handled this
particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
RELATED COURSES
Data Storytelling & Dashboard Design
NEWSLETTER
Sign up for the JBI Training newsletter to stay updated with world-class
technology training opportunities, including Analytics, AI, ML, DevOps, Web,
Backend and Security. Our Power BI Training Course is especially popular. Gain
new skills, useful tips, and validate your expertise with an industry-leading
organisation, all tailored to your schedule and learning preferences.
MORE ABOUT THIS COURSE
Fabric your path to mastering enterprise analytics with our comprehensive
Microsoft Fabric training course. This "Fabric" program is meticulously crafted
to cater to the evolving needs of data analysts, data engineers, business
intelligence professionals, data scientists, and IT experts immersed in the
realm of enterprise analytics. Through a blend of theoretical insights and
practical applications, participants will gain invaluable knowledge and hands-on
experience across the entire spectrum of Microsoft Fabric functionalities.
Throughout the course, participants will explore the intricacies of data
movement, data science methodologies, real-time analytics implementations, and
cutting-edge business intelligence techniques. With expert guidance and
immersive exercises, attendees will develop proficiency in managing data lakes,
executing complex data engineering tasks, and seamlessly integrating diverse
data sources within the Microsoft Fabric ecosystem.
This course is not only an opportunity to enhance technical skills but also a
gateway to unlocking new possibilities in data-driven decision-making and
strategic insights generation. Whether you're a seasoned professional looking to
deepen your expertise or a newcomer eager to explore the frontiers of enterprise
analytics, our Microsoft Fabric training course offers a transformative learning
experience tailored to meet the demands of today's dynamic business landscape.
FAQS
Who is this course designed for?
* Our Fabric training course is designed for data analysts, data engineers,
business intelligence professionals, data scientists, and IT experts who are
involved in enterprise analytics and seek to enhance their skills in
Microsoft Fabric.
What level of expertise is required to enroll in the course?
* The course is suitable for participants with varying levels of expertise,
from beginners to experienced professionals. A basic understanding of data
analytics concepts and tools is beneficial but not mandatory.
What can I expect to learn from the course?
* Participants will gain a comprehensive understanding of Fabric, including
data movement, data science techniques, real-time analytics, and business
intelligence applications. They will also learn how to manage data lakes,
execute data engineering tasks, and integrate diverse data sources
seamlessly.
Is the course hands-on?
* Yes, the course features hands-on exercises and practical applications to
reinforce learning and allow participants to gain real-world experience in
using Microsoft Fabric.
How long is the course?
* The duration of the course varies depending on the format and depth of
coverage. Typically, it ranges from a few days for intensive workshops to
several weeks for comprehensive training programs.
Are there any prerequisites for the course?
* While there are no strict prerequisites, familiarity with basic data
analytics concepts and tools will be advantageous. Participants should also
have access to a computer with internet connectivity for hands-on exercises.
What are the benefits of completing the course?
* Completing the course will equip participants with the skills and knowledge
needed to leverage Fabric effectively in enterprise analytics projects. It
can enhance career prospects, enable better decision-making through data
insights, and contribute to organizational success in today's data-driven
world.
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