Udemy

Azure Data Factory | Data Engineering on Azure and Fabric

立即報名
  • 19,539 名學生
  • 更新於 10/2025
4.7
(2,448 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
10 小時 57 分鐘
教學語言
英語
授課導師
Malvik Vaghadia
評分
4.7
(2,448 個評分)
16次瀏覽

課程簡介

Azure Data Factory | Data Engineering on Azure and Fabric

Data Factory on Azure and Microsoft Fabric, Azure DevOps (CI/CD), Azure Data Lake, Azure SQL and more (DP-203, DP-600)

I am pleased to present this course on one of the most in demand data engineering tools around... Azure Data Factory!


As the demand for cloud-based data integration services continues to skyrocket, there is a huge demand for professionals with knowledge of services like Azure Data Factory and Microsoft Fabric. By learning these applications, users can enhance their skills and increase their job prospects in the field of data engineering and analytics.


In this course you will primarily be using Azure Data Factory on Microsoft Azure and Microsoft Fabric in addition to other services such as Azure Blob Storage, Azure Data Lake Storage Gen 2 and Azure SQL Database.


The course is packed with lectures, code-along videos and a dedicated course project. As an added benefit you will also have lifetime access to all of the lectures…


This course will cover the following topics:

  • Azure Storage Solutions such as Azure Blob Storage and Azure Data Lake Gen2 Storage

  • The basics of Azure Data Factory including the core components such as Linked Services, Datasets, Activities, Data Flows, Pipelines and Integration Runtimes

  • Integrating data from various file formats such as CSV, JSON and Parquet

  • The Copy Activity in Azure Data Factory

  • Data Flows, Control Flow and Transformation Activities in Azure Data Factory

  • Orchestrating Data Integration Workflows

  • How to create Schedules and Triggers to execute your pipelines

  • How to use Parameters and Variables with your Linked Services, Datasets and Pipelines

  • How to use Azure Data Factory with SQL Databases

  • Authentication and Access including Managed Identities, Service Principals and Azure Key Vault

  • The Data Factory Experience in Microsoft Fabric

  • Azure DevOps Source Control

  • Continuous Integration and Continuous Deployment

課程章節

  • 10 個章節
  • 133 堂課
  • 第 1 章 Course Overview and Set Up
  • 第 2 章 Azure Storage
  • 第 3 章 ADF - Overview and Set Up
  • 第 4 章 Data Movement
  • 第 5 章 Data Transformation
  • 第 6 章 Scheduling and Chaining Pipelines for Execution
  • 第 7 章 Control Flow, Parameters and Variables
  • 第 8 章 Azure SQL Database for Structured Data
  • 第 9 章 Tumbling Window Triggers
  • 第 10 章 Authentication and Access

課程內容

  • Azure Data Factory
  • Microsoft Fabric Data Factory
  • Azure Storage Accounts
  • Azure SQL Databases and Upsert Operations
  • Overview and Background of Azure Big Data Analytics Solutions
  • Integrating Data From Various File Formats
  • Authentication and Access: Service Principals, Managed Identities and Azure Key Vault
  • Data Pipelines, Copy Activity, Data Flows, Control Flow and Transformation Activities
  • Implementing a Modern Data Lake
  • Control Flow, Parameters and Variables
  • Real World Application of Azure Data Factory
  • Azure DevOps Source Control with Data Factory
  • Continuous Integration and Continuous Deployment (CI/CD)


評價

  • U
    Uday Thota
    4.0

    Its Really Good and valuable stuff but its too good if included some error-based scenarios as well. Really thanks for this course.

  • H
    Herman Xiong
    5.0

    Great course to get started with ADF!

  • S
    Samuel Esteban Valerín Villegas
    5.0

    This course is really good.

  • E
    Eduardo Vazquez
    4.0

    Excellent material, sometimes I get lost in the lectures because the professor jump some steps.

立即關注瀏覽更多

本網站使用Cookies來改善您的瀏覽體驗,請確定您同意及接受我們的私隱政策使用條款才繼續瀏覽。

我已閱讀及同意