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Microsoft Fabric training course

Explore the intricacies of Microsoft Fabric through our comprehensive training course. Designed for professionals seeking mastery in enterprise analytics, this course delves into every aspect of Microsoft Fabric, from data movement to advanced data science techniques, real-time analytics, and business intelligence applications.

JBI training course London UK

"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

20/05/24 - 2 days
£1995 +VAT
01/07/24 - 2 days
£1995 +VAT
12/08/24 - 2 days
£1995 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

Microsoft Fabric Training: 

  • Introduction to Microsoft Fabric 
  • Comprehensive training on Microsoft Fabric analytics platform
  • Hands-on experience in data movement and data science
  • Real-time analytics applications covered
  • Business intelligence techniques explored
  • Expert guidance on managing data lakes
  • Practical exercises in data engineering
  • 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 Microsoft Fabric training course.

 Introduction

  • Instructors Introduction
  • Learning objectives

Microsoft Fabric Foundation

  • Overview of Microsoft Fabric
  • Lakehouse vs Warehouse
  • Fabric License Types
  • Getting-Started
  • Concept of Workspaces
  • Create and 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

Real-Time Analytics8 lectures 

  • 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

Data Visualization with Power BI

  • Power BI and Fabric
  • Version Control
  • Direct Lake

Data Science

  • Data Science - Resources
  • What is Data Science?
  • The Data Science Process
  • Items and Models
  • Excercise
  • Model Management
  • Data Science - Resources

Data Management

  • Introduction
  • Access Control
  • Governance
  • Monitoring

 

 

JBI training course London UK

This course is ideal for:

  • Data analysts
  • Data engineers
  • Business intelligence professionals
  • 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

 


5 star

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

 

 

JBI training course London UK

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Dive into the heart of enterprise analytics with our comprehensive Microsoft Fabric training course. This 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.

Who is this course designed for?

  • Our Microsoft 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 Microsoft 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 Microsoft 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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