Microsoft Fabric - The Practical Guide

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Nikolai Schuler

8:30:22

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1. Getting started with Fabric

1. What is Microsoft Fabric.mp4

08:29

2. Fabric Signup.mp4

04:55

3. Fabric without work email.mp4

05:53

4. Creating Fabric Workspace.mp4

03:25

5. Fabric Pricing.mp4

08:55

2. OneLake & Lakehouses

01. OneLake.mp4

02:32

02. Workspaces.mp4

03:09

03. Lakehouses.mp4

02:41

04. Exploring Workspaces.mp4

08:37

05. Create a lakehouse.mp4

02:16

06. Load data into lakehouse.mp4

02:50

07. Load data into tables.mp4

06:42

08. Exploring Delta Tables.mp4

04:34

09. Using Dataflow Gen 2.mp4

12:28

10. Using SQL analytics endpoint.mp4

08:44

3. Power BI & Semantic Models

1. Understanding semantic models.mp4

09:30

2. Using Semantic Models in Power BI.mp4

04:21

3. Create new semantic model.mp4

07:48

4. Creating measures.mp4

06:35

5. Connect to Fabric from Power BI Desktop.mp4

09:54

6. Using SQL endpoint.mp4

04:32

7. Auto Create Reports.mp4

07:09

8. Creating Apps.mp4

08:38

9. Updating & Deleting Apps.mp4

04:47

4. Data Factory

1. Azure Data Factory & Data Pipelines.mp4

03:16

2. Copy Data Activity.mp4

11:44

3. Adding DataFlow Gen 2 to Pipeline (Correct Version).mp4

12:17

4. Disable Staging for better performance.mp4

06:32

5. Schedule Data Pipeline.mp4

02:37

6. Troubleshoot & Monitor Data Pipeline.mp4

03:10

5. Data Warehouses

01. What is a warehouse.mp4

06:47

02. Creating a data warehouse.mp4

03:52

03. Create Table Correct.mp4

05:32

04. INSERT & UPDATE data.mp4

04:59

05. Alter Table Schema.mp4

06:45

06. Calculating colmuns & Schema Updates.mp4

04:39

07. COPY INTO command.mp4

05:12

08. Copy Data using Pipeline.mp4

08:26

09. Referencing SQL endpoints from Lakehouses.mp4

05:27

10. Cloning tables.mp4

06:29

11. Modify Semantic Model and Create Reports.mp4

03:25

6. Data Engineering

01. Spark in Fabric.mp4

05:19

02. Creating a data frame.mp4

07:28

03. Exploring the notebooks.mp4

06:50

04. Uploading & reading files.mp4

04:51

05. Connect a lakehouse.mp4

07:34

06. Defining the schema.mp4

06:42

07. Filtering Data.mp4

04:52

08. Modify Schema.mp4

04:05

09. Adding columns.mp4

04:05

10. Aggregating & Grouping.mp4

05:38

11. Using functions.mp4

03:07

7. Real-Time Analytics

01. Basics of Real-Time Analytics in Fabric.mp4

07:45

02. Creating a KQL database.mp4

05:44

03. Basics of KQL.mp4

05:04

04. Sorting & Filtering.mp4

03:31

05. Aggregating & Grouping.mp4

06:19

06. Visulizing Data.mp4

04:05

07. Getting data.mp4

04:36

08. Joining data.mp4

03:32

09. Creating Eventstream.mp4

06:46

10. Event Processing.mp4

07:20

11. Routing streaming data to into KQL database.mp4

03:57

12. Connecting KQL database to Power BI.mp4

05:52

13. Ingesting stream into lakehouse.mp4

06:07

14. Real-time data in notebooks.mp4

03:21

15. Retention policies.mp4

02:47

16. Deleting Eventstream.mp4

01:05

8. Data Science

01. Data Science Introduction.mp4

05:43

02. Setup of Notebook & Load Data.mp4

09:39

03. Creating Pandas Dataframe.mp4

03:07

04. Data Cleansing using Data Wrangler.mp4

08:46

05. Exploratory Analysis - Distributions.mp4

10:54

06. Feature Impact Analysis.mp4

03:16

07. Feature Engineering.mp4

06:54

08. Connecting the results to Power BI.mp4

02:25

09. Setting up experiments & understanding models.mp4

06:21

10. Split and Sample Training Data.mp4

03:45

11. Train Model.mp4

02:38

12. Exploring Experiment & Metrics.mp4

07:32

13. Understanding ROC & Precision Recall Curve.mp4

06:16

14. Comparing different models.mp4

07:38

15. Save run as ML model.mp4

01:46

16. Applying the ML model.mp4

06:38

9. Data Activator

1. Data Activator Overview.mp4

02:10

2. Create Reflex from Power BI data.mp4

06:57

3. Setting up Triggers.mp4

06:59

4. Add data from Eventstream.mp4

07:19

5. Create Triggers from Objects.mp4

04:44

Description

Master Microsoft Fabric from Foundation to Mastery: A Practical and Comprehensive Guide

What You'll Learn?

Enhance your career with practical, hands-on Microsoft Fabric expertise.
Architect secure, scalable solutions across the Microsoft Fabric platform.
Navigate Microsoft Fabric's ecosystem for advanced data science applications.
Leverage Power BI for dynamic data visualizations.
Master real-time analytics for immediate insights from observational data.
Develop and deploy machine learning models within Microsoft Fabric.
Design and manage comprehensive Data Warehousing solutions for analytics.
Utilize Data Activator for effective data asset management and analytics.
Implement Data Factory processes for scalable ETL and data integration.
Master Microsoft Fabric's data engineering tools for robust data solutions.

Who is this for?

IT Professionals that want to navigate Microsoft Fabric

Aspiring Data Professionals eager to enter the data field with practical skills

Data Engineers and Data Scientists looking to master Microsoft Fabric

BI Professionals aiming to enhance skills in Fabric

What You Need to Know?

No previous experience is needed. You will learn everythign you need to know

Microsoft Fabric trial account

More details

Description
Mastering Microsoft Fabric: The Future of Analytics
This is your definitive guide to master every aspect of Microsoft Fabric.
Dive deep into practical, hands-on learning to be equipped you with all you need to excel in Microsoft Fabric.

Why This Course?

Complete &Â Comprehensive: This course covers every aspect of Microsoft Fabrics's expansive suite. Just one course with real and practical outcomes.
Real-World Scenarios: Learn how to automate data flows, deploy and automate machine learning models, create real-time analytics pipelines and how everything is connected.
Conceptual Understanding: From understanding OneLake infrastructure to unlocking the potential of the Data Activator. This course is meticulously designed to provide an extensive understanding of the Microsoft Fabric's suite.
Practical, Hands-On Experience: Engage with real-world scenarios and apply what you learn directly within the Microsoft Fabric environment.

What Will You Achieve?
From foundational principles to advanced applications, this course equips you with all you need in Microsoft Fabric.

Data Engineering: Gain expertise in data transformation and management using Microsoft Fabric's powerful data engineering tools.
Data Factory: Master the use of Data Factory for efficient data integration and transformation, enabling scalable ETL processes and data pipelines.
Data Activator: Learn how to utilize Data Activator to streamline the activation and availability of your data assets for analytics and decision-making.
Data Warehousing: Acquire the knowledge to implement and manage robust data warehousing solutions, ensuring data is structured, stored, and ready for analysis.
Data Science and Machine Learning: Build and deploy machine learning models, integrating AI into your analytics workflows.
Real-Time Analytics: Tackle the fastest-growing data category with confidence, mastering the handling of observational data.
Power BI & Business Intelligence: Empower decision-making with Power BI, accessing all the data in Fabric swiftly and effectively.

Who Should Enroll?

Aspiring data engineers and architects seeking to lead in the analytics domain.
Seasoned professionals aiming to specialize in Microsoft Fabric's analytics &Â data engineering capabilities.
Anyone looking to gain valuable, in-demand skills in the era of AI-powered analytics.
Enrollment Benefits:

Complete Coverage: From basics to advanced topics, we provide a structured journey through Microsoft Fabric's capabilities.
Real-World Applications: Equip yourself with skills that translate directly to the workplace.
Lifetime Access: Enjoy lifelong access to the course materials and updates.
Community and Support: Join a community of like-minded learners and receive dedicated support to accelerate your learning journey.

Elevate Your Career with Real Skills
Enroll now to gain the skills that will put you at the forefront of data analytics innovation.
See you inside the course!
Who this course is for:
IT Professionals that want to navigate Microsoft Fabric
Aspiring Data Professionals eager to enter the data field with practical skills
Data Engineers and Data Scientists looking to master Microsoft Fabric
BI Professionals aiming to enhance skills in Fabric

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Are you thinking about pursuing a career as a Data Analyst or Data Scientist?Do you ever think that your career could take a leap forward if you would have more knowledge and skills in the world of data? Perhaps you are even feeling overwhelmed by the number of courses available or by the fact that your life is already too full to concentrate on one more course?I am Nikolai Schuler, I am a data scientist and BI consultant, and I have been there too... A few years ago I noticed that the world of data benefits from many new tools and technologies. However, I also realized that it is extremely difficult to get trained in the field: Practical courses with real quality content are rare and are often structured in such a way that they are incompatible with a working life full of other tasks and activities. While going through hours of research and training, I came up with the idea of creating a course that would offer extremely valuable content but that would be at the same time easy to follow due to its structure. My goal is to help as many people as possible to pursue their desired career in this new Digital Age by enabling them to upgrade their data analysis skills. I am proud to say that I am heading in the right direction as my courses have already found their audience in over 170 countries and received thousands of positive feedbacks.I am super excited about equipping you with the skillset to master Data Science and Data Analytics! If you are looking for quality AND approachable training, then jump onboard! I am really looking forward to leveling up your IT skills.-- German version --In meiner Arbeit als Data Scientist sehe ich, dass in der heutigen Zeit neue Tools riesige Vorteile bringen und sie nicht mehr wegzudenken sind. Allerdings sehe ich auch, dass es nicht immer leicht ist, sich neben der täglichen Arbeit in diese neuen Tools einzuarbeiten.Mir selbst ist es auch schwer gefallen Kurse zu finden, die einerseits qualitativ hochwertig und andererseits verständlich und gut strukturiert sind.Aus diesem Grund habe ich mich dazu entschlossen, selbst strukturierte und praxisorientierte Kurse zu erstellen.Da ich sowohl für einfache Anwender als auch für Datenspezialisten Einweisungen in Power BI und anderen Tools gebe, bin ich einerseits technischer Spezialist, habe aber andererseits auch ein gutes Gefühl für die, die nicht die reinen Datenspezialisten sind.Mir zu überlegen, wie man das Wissen wirklich sinnvoll und verständlich vermitteln kann, ist das, was mir dabei Freude macht.

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