Microsoft Fabric Complete Guide – Future of Data with Fabric

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

1 - Introduction

1 - Instructors Introduction

2 - Learning objectives

3 - Understanding the Objectives

4 - Success Criteria

5 - Introduction

6 - Course Roadmap

2 - Microsoft Fabric Foundation

7 - Overview of Microsoft Fabric

8 - Lakehouse vs Warehouse

9 - Fabric License Types

10 - GettingStarted Signup Screen

11 - Concept of Workspaces

12 - Create and Configure Workspace Access

13 - Workspace Settings

3 - Data Engineering OneLake

14 - Introduction to Data Engineering in Fabric

15 - Introduction to OneLake

16 - Lakehouse

17 - 3.1-4-sales.xlsx

17 - Delta Lake

18 - OneLake Explorer

19 - Authentication and Authorization

20 - Introduction to Shortcuts

21 - Creating Shortcuts

22 - Monitoring Hub and Data Hub

4 - Data Engineering Lakehouse

23 - Introduction

24 - Architecture

25 - Distinctions between Lakehouse Warehouse

5 - Data Engineering ETL with Lakehouse

26 - What is Spark

27 - Notebook Overview

28 - Web based and VS Code Notebooks

29 - Spark Monitoring Spark Jobs

6 - Data Warehouse Serverless Engine

30 - 4-Warehouse-SQL-Scripts.zip

30 - WarehouseSQL Scripts.html

31 - Introduction

32 - Default Dataset and Modelling

33 - Ingest Methods

34 - Load Data Introduction

35 - Load Data into Lakehouse

36 - Load Data Using Data Pipeline Part 1

37 - Load Data Using Dataflows

38 - Load Data Using Data Pipeline Part 2

39 - Models and Power BI reports

40 - Crossdatabase Query

41 - Roles Permissions RLS CLS

42 - Manage Performance

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

46 - Create Process and Monitor

47 - KSQL Queryset

48 - KSQL Database

49 - KSQLmagic

50 - Spark

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

51 - RealTime Analytics KQL Scripts.html

8 - Data Factory Introduction

52 - What is Data Factory

53 - Data Flows and Pipelines

54 - Architecture

55 - Workspace Setup

9 - Data Factory EndtoEnd Build

56 - Control Table and Copy Data

57 - Metadata Copy Pattern

58 - Script Activity

59 - Data Flows Gen2 Introduction

60 - Data Flows Gen2 Continuation

61 - Execute Pipeline

62 - Shortcut to Other Workspaces

63 - Notebooks

64 - Data Flow Gen2 Transformations

65 - Pipelines Notebooks and Parameters

66 - Monitoring Notebooks in Pipelines

10 - Data Visualization with Power BI

67 - Power BI and Fabric

68 - Version Control

69 - Direct Lake

11 - Data Science

70 - 8-Data-Science-nb.zip

70 - Data Science Resources.html

71 - What is Data Science

72 - The Data Science Process

73 - Items and Models

74 - Excercise

75 - Saving Models

76 - Model Management

77 - 8-Data-Science-nb.zip

77 - Data Science Resources.html

12 - Data Management

78 - Introduction

79 - Access Control

80 - Governance

81 - Monitoring

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تولید کننده: Udemy