Microsoft Fabric Complete Guide - Future of Data with Fabric

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Henry Habib,The Intelligent Worker,Sawyer Nyquist,Hitesh Govind

8:59:29

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1 - Introduction

1 - Instructors Introduction.mp4

01:36

2 - Learning objectives.mp4

00:52

3 - Understanding the Objectives.mp4

01:40

4 - Success Criteria.mp4

01:31

5 - Introduction.mp4

00:43

6 - Course Roadmap.mp4

00:54

2 - Microsoft Fabric Foundation

7 - Overview of Microsoft Fabric.mp4

07:19

8 - Lakehouse vs Warehouse.mp4

04:19

9 - Fabric License Types.mp4

03:16

10 - GettingStarted Signup Screen.mp4

09:11

11 - Concept of Workspaces.mp4

01:28

12 - Create and Configure Workspace Access.mp4

11:05

13 - Workspace Settings.mp4

16:51

3 - Data Engineering OneLake

14 - Introduction to Data Engineering in Fabric.mp4

03:08

15 - Introduction to OneLake.mp4

03:37

16 - Lakehouse.mp4

02:24

17 - 3.1-4-sales.xlsx

17 - Delta Lake.mp4

05:51

18 - OneLake Explorer.mp4

05:07

19 - Authentication and Authorization.mp4

02:29

20 - Introduction to Shortcuts.mp4

02:13

21 - Creating Shortcuts.mp4

08:39

22 - Monitoring Hub and Data Hub.mp4

08:10

4 - Data Engineering Lakehouse

23 - Introduction.mp4

03:40

24 - Architecture.mp4

06:42

25 - Distinctions between Lakehouse Warehouse.mp4

06:26

5 - Data Engineering ETL with Lakehouse

26 - What is Spark.mp4

06:44

27 - Notebook Overview.mp4

15:28

28 - Web based and VS Code Notebooks.mp4

13:44

29 - Spark Monitoring Spark Jobs.mp4

04:50

6 - Data Warehouse Serverless Engine

30 - 4-Warehouse-SQL-Scripts.zip

30 - WarehouseSQL Scripts.html

31 - Introduction.mp4

01:53

32 - Default Dataset and Modelling.mp4

03:39

33 - Ingest Methods.mp4

02:47

34 - Load Data Introduction.mp4

10:29

35 - Load Data into Lakehouse.mp4

07:18

36 - Load Data Using Data Pipeline Part 1.mp4

12:22

37 - Load Data Using Dataflows.mp4

08:05

38 - Load Data Using Data Pipeline Part 2.mp4

07:52

39 - Models and Power BI reports.mp4

20:11

40 - Crossdatabase Query.mp4

03:47

41 - Roles Permissions RLS CLS.mp4

10:41

42 - Manage Performance.mp4

07:13

43 - 4-Warehouse-SQL-Scripts.zip

43 - WarehouseSQL Scripts.html

7 - RealTime Analytics

44 - 5-Real-Time-Analytics-KQL-NB.zip

44 - RealTime Analytics KQL Scripts.html

45 - SQL vs KQL Introduction.mp4

06:03

46 - Create Process and Monitor.mp4

17:13

47 - KSQL Queryset.mp4

15:28

48 - KSQL Database.mp4

19:10

49 - KSQLmagic.mp4

11:05

50 - Spark.mp4

06:48

51 - 5-Real-Time-Analytics-KQL-NB.zip

51 - RealTime Analytics KQL Scripts.html

8 - Data Factory Introduction

52 - What is Data Factory.mp4

05:03

53 - Data Flows and Pipelines.mp4

06:25

54 - Architecture.mp4

14:00

55 - Workspace Setup.mp4

02:39

9 - Data Factory EndtoEnd Build

56 - Control Table and Copy Data.mp4

12:47

57 - Metadata Copy Pattern.mp4

15:14

58 - Script Activity.mp4

09:49

59 - Data Flows Gen2 Introduction.mp4

08:11

60 - Data Flows Gen2 Continuation.mp4

04:51

61 - Execute Pipeline.mp4

05:55

62 - Shortcut to Other Workspaces.mp4

04:34

63 - Notebooks.mp4

07:13

64 - Data Flow Gen2 Transformations.mp4

18:22

65 - Pipelines Notebooks and Parameters.mp4

09:11

66 - Monitoring Notebooks in Pipelines.mp4

02:00

10 - Data Visualization with Power BI

67 - Power BI and Fabric.mp4

08:56

68 - Version Control.mp4

03:00

69 - Direct Lake.mp4

05:36

11 - Data Science

70 - 8-Data-Science-nb.zip

70 - Data Science Resources.html

71 - What is Data Science.mp4

01:20

72 - The Data Science Process.mp4

03:39

73 - Items and Models.mp4

05:00

74 - Excercise.mp4

08:27

75 - Saving Models.mp4

03:03

76 - Model Management.mp4

01:59

77 - 8-Data-Science-nb.zip

77 - Data Science Resources.html

12 - Data Management

78 - Introduction.mp4

01:37

79 - Access Control.mp4

05:30

80 - Governance.mp4

20:56

81 - Monitoring.mp4

12:11

Description

Microsoft Fabric Masterclass | Data Factory, Warehouse, Data Science, Power BI all in Fabric | Learn Microsoft Fabric

What You'll Learn?

Understand Microsoft Fabric, what it is, how it works and its various components
Learn how to explore, create, assign and configure workspaces
Discover the principles of data engineering in Microsoft Fabric, including Lakehouse and Delta Lake
Explore the application of OneLake on Fabric
Learn about data loading and ingestion options in the Fabric enviroment
Understand the connection of Power BI and Fabric in data visualization
Discover how to use data factory to create and execute data pipelines in Fabric
Find out the uses of Fabric within the domains of data science and data engineering
Gain comprehensive understanding of performance management, SQL, and KQL, and learn how to use KSQL Queryset, KSQL database, and KSQLMagic for data analysis.
Explore how to manage access control, governance, and monitoring in the Fabric environment

Who is this for?

Citizen and professional data practioners

Data professionals working with data infrastructure, ETL, and data integration, who are seeking to learn how they can utilize Fabric in their data workflows

Business analysts who want to expand their knowledge and skills by learning about data engineering practices, data lakes, and the integration with Power BI for reports and visualization

Data scientists who are looking at how they can leverage Fabric in their data science projects, including model management and integration with Azure services

What You Need to Know?

Basic understanding and knowledge of data concepts and terminologies.

Programming experience and familiarity with data engineering and data science languages such as SQL, Spark and Python is not required, but recommend

Simple understanding of cloud computing concepts and services, particularly for Microsoft Azure.

More details

Description
Are you ready to immerse yourself in the cutting-edge world of Microsoft Fabric and revolutionize your data-professional and data engineering skills? This in-depth course will take you on an exploration of the power of Microsoft Fabric, Microsoft's cutting-edge data tools and analytics platform. With over 9 hours of engaging content, you will obtain a solid grasp of Microsoft Fabric's capabilities and how it can assist you with your data journey.

In this comprehensive Microsoft Fabric course, you will learn about important topics like Lakehouse versus warehouse and the concept of workspaces. Learn how to set up and configure workspace access, how to use OneLake and Delta Lake, and how to apply authentication and authorization techniques for data protection. Improve your knowledge of shortcuts, monitoring hubs, and data hubs. Learn about Spark integration, different ingest strategies for efficient data loading, and key topics like SQL vs. KQL and performance management.

Whether you're a seasoned data expert or just starting out, this course will prepare you to thrive in the world of data.

What is this course all about?
The main goal of this course is to offer a comprehensive guide to Microsoft Fabric and showcase its diverse applications across multiple domains in the data field. By delving into data engineering, data science, and data analytics, you will develop a holistic comprehension of how Microsoft Fabric can be effectively utilized in the world of data.

What is Microsoft Fabric?
Microsoft Fabric is an all-in-one cloud-based analytics platform that includes data migration, data lakes, data engineering, data integration, data science, real-time analytics, and business intelligence. It offers a user-friendly, cloud SaaS interface that makes it accessible even to people with limited data analytics knowledge. All analytics components are available on a single platform, easing data pipeline management, model deployment, and insight sharing.

Who are the instructors for this course?
Sawyer Nyquist
A data professional from West Michigan, USA, holding the position of Sr. Data Engineering Consultant at Microsoft. He specializes in business intelligence, data engineering, data warehousing, and data platform architecture. Possessing cloud data certifications in data engineering, Apache Spark, and business intelligence, he has collaborated with numerous companies to strategize and deploy data platforms, analytics, and technology and to foster growth.
Hitesh Govind
Hitesh is a cloud solutions architect from Southern California, USA, with a wide expertise in database administration and enterprise architecture. He is also a published author who is passionate about mentoring teenagers and an entrepreneur who believes in the power of technology to tackle real-world business challenges. Hitesh also has expert-level certification in Azure Solutions Architecture, as well as Data Engineer and Power Platform certifications.

Why learn Microsoft Fabric?
Role-Tailored Tools: Microsoft Fabric provides specialized tools for different roles involved in the data analytics process, catering to the demands of data professionals, analysts, and engineers.
Unified Platform: Microsoft Fabric unifies diverse components of an analytics solution into a single platform.
Cloud-Based Accessibility: As a cloud-based platform, Fabric allows users to access it from anywhere, making it ideal for organizations with distributed teams or those requiring quick scalability for their analytics capabilities.
AI-Powered Capabilities: Microsoft Fabric incorporates features like Copilot, which aids in efficient code writing, and Data Activator, which provides real-time data monitoring, enhancing data analysis and decision-making.
Adaptation to Current Trends and Upskilling: Embracing Microsoft Fabric allows individuals and organizations to stay current with emerging trends in data analytics, providing opportunities for continuous learning and skill enhancement to remain competitive in the data realm.

Why choose this course?
Learn from Experts: The course is taught by industry experts who have extensive knowledge and experience in the fields of data science, data analytics, and data engineering.
Comprehensive Coverage: This course provides a complete guide covering the areas of data engineering, data analytics, and data science, making it a useful and well-rounded resource for data professionals.
Practical Approach: Going beyond theoretical explanations, we provide practical examples, allowing students to practice alongside the instructor, which allows the learners to apply the concepts in real-world scenarios, enhancing their learning experience.
Instructor support: Whether you're stuck on a particular subject, seeking clarification, or looking for expert insights, our instructors are committed to helping you every step of the way.

Course Overview:
Sections 1: Learn about the course objectives, the instructors, and how to align analytical solutions with the needs of the clients.
Section 2: An introduction to Microsoft Fabric along with workspace set-up and configuration.
Sections 3 to 5: An overview of data engineering in Fabric, covering OneLake, Delta Lake, shortcuts, authentication process, and monitoring Spark jobs.
Section 6: Introduction to data warehouse in Fabric covering data ingestion, data loading, performance management, etc.
Section 7: Learn real-time analytics including SQL and KQL, monitoring queries and data, KSQLmagic along with Spark integration.
Sections 8 and 9: Understanding data factory, data flows, pipelines and workspace set-up.
Section 10: Exploring the integration of Power BI with Fabric.
Section 11: Introduction to data science process, model management and practical exercises.
Section 12: Covers the fundamentals of data management including access control, governance and security, and monitoring.
Who this course is for:
Citizen and professional data practioners
Data professionals working with data infrastructure, ETL, and data integration, who are seeking to learn how they can utilize Fabric in their data workflows
Business analysts who want to expand their knowledge and skills by learning about data engineering practices, data lakes, and the integration with Power BI for reports and visualization
Data scientists who are looking at how they can leverage Fabric in their data science projects, including model management and integration with Azure services

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As a manager at one of the world's top management consulting firms, he advises F500 companies on growth strategy, operation, and analytics. He has a vast background in applying data-driven solutions to create impact, in both large and small organizations. Henry is also a big proponent of no-code application development in business. He deploys business application to his clients using No-Code solutions, which are much easier to understand and faster. He believes in the No-Code revolution. As a professor, Henry is passionate about teaching students on how to succeed, on any topic (case interviews, no-code application development, automation). He does this by creating courses with engaging and helpful content, and always being around to answer any questions.

The Intelligent Worker

Instructor's Courses

Hello, this is The Intelligent Worker! We are pioneering enthusiasts of technology and innovation. Having spent the better part of the last decade exploring the realms of AI, automation, and no-code solutions, our passion lies in harnessing these powerful tools to optimize productivity and enhance personal efficiency.We firmly believe that everyone should have the ability to use these tools, regardless of their background or skill level. That's why I've dedicated myself to simplifying and democratizing these technologies, ensuring that they're accessible to all.Through our courses on Udemy, we aim to share my knowledge and experience with learners around the world. we focus on practical applications of AI, automation, and no-code tools that can immediately impact your day-to-day life and work. Our mission is to equip you with the skills needed to be a more effective and efficient worker in this modern digital age.Join me in exploring these exciting technologies and start your journey towards becoming an Intelligent Worker!

Sawyer Nyquist

Instructor's Courses

Sawyer is a data craftsman based in the woods of West Michigan, USA. His work focuses on business intelligence, data engineering, data warehousing, and data platform architecture. He holds cloud data certifications related to data engineering, Apache Spark, and business intelligence. Over his career, he has worked with dozens of companies to strategize and implement data platforms, analytics, and technology to drive growth.For the last two years, he has been a Sr. Data Engineering Consultant at Microsoft.He’s a firm believer that February is the longest month of the year (at least in Michigan) and that Michigan is the state with the best summers.

Hitesh Govind

Instructor's Courses

Hitesh leads Analytical Intelligence International, a cloud consulting firm specializing in advanced analytics and artificial intelligence solutions. He comes from Microsoft where he designed data related solutions for some of the largest companies in North America.Hitesh is a published author on Amazon and has been teaching leadership skills for many years now. You can find his many articles on LinkedIn.Originally from New Zealand, holds a 4th Dan Black Belt in Tae Kwon do, so is no stranger to teaching students how to gain value out of the time they invest in learning.

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