Azure Data Factory | Data Engineering on Azure and Fabric | Udemy [Update 08/2024]
English | Size: 5.1 GB
Genre: eLearning[/center]

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

What you'll learn
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)

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

Who this course is for:
Anyone interested in Azure, Microsoft Fabric or Cloud Data Engineering
Anyone interested in working with Big Data
Anyone working with cloud data

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