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Advanced Azure Data Factory

Part Of The On-Demand Courses

WHAT YOU'LL LEARN

  • How to use Azure Data Factory and integrate it with other cloud technologies
  • Azure DevOps and implementing CI/CD
  • ADF integration with Azure Key Vault, Azure Databricks, Azure Log Analytics and Azure Logic Apps
  • Building dynamic and reusable pipelines with parameterization
  • Using wrangling and mapping data flows
  • Monitoring metrics from all your data factories in a single Azure dashboard
This course includes:
  • Course Description
  • Outline
  • Instructor
  • System Requirements
  • What to Know Before Class

Course Description

The Advanced Azure Data Factory (ADF) course is designed to provide a comprehensive overview of Azure Data Factory and the integration with other cloud technologies. This course focuses on many different areas with Azure Data Factory. First, the course dives into Azure DevOps and provides you with a solid understanding of implementing CI/CD also known as continuous integration and continuous delivery. Next, you will learn about ADF integration with Azure Key Vault, Azure Databricks, Azure Log Analytics and Azure Logic Apps. The course also dives into building dynamic and reusable pipelines with parameterization and variables. Finally, you will learn how to use wrangling and mapping data flows and how to monitor the metrics from all your data factories from a single Azure dashboard.

Outline

 

Module 01 | Azure DevOps
77m 43s total

 

Module 01A | Azure DevOps Setup
31m 05s

 

Module 01B | Upload JSON Objects
12m 11s

 

Module 01C | Release Pipelines
34m 27s

 

Module 02 | Templates
32m 41s total

 

Module 02A | ARM Templates
26m 04s

 

Module 02B | Pipeline Templates
06m 37s

 

Module 03 | Azure Key Vault
54m 26s total

 

Module 03A | Setup & Secrets
19m 30s

 

Module 03B | ADF Integration
21m 53s

 

Module 03C | Managed Identity
13m 03s

 

Module 04 | Copy Activity
32m 44s total

 

Module 04A | Copy Activity Intro
19m 55s

 

Module 04B | Auto Table Creation
12m 49s

 

Module 04C | Archiving Files
09m 02s

 

Module 05 | Dynamic Content
144m 05s total

 

Module 05A | Check if File Exists
40m 57s

 

Module 05B | Parent Child Design
36m 59s

 

Module 05C | Expressions
16m 52s

 

Module 05D | Restartability
17m 23s

 

Module 05E | Metadata
31m 54s

 

Module 06 | Data Flows
122m 15s total

 

Module 06A | Data Flows Intro
18m 22s

 

Module 06B | Databricks
19m 03s

 

Module 06C | Wrangling Data
11m 28s

 

Module 06D | Mapping Data Flows
37m 59s

 

Module 06E | Rule-Based Mapping
35m 23s

 

Module 07 | Monitoring
31m 41s total

 

Module 07A | Azure Log Analytics
16m 04s

 

Module 07B | ADF Analytics and Dashboards
16m 37s

 

Module 08 | Running Pipelines
50m 14s total

 

Module 08A | Debugging Data Flows
12m 19s

 

Module 08B | Azure Logic Apps Integration
19m 11s

 

Module 08C | Data Factory Integration
18m 44s

Instructor

MITCHELL PEARSON

Training Content Manager

Mitchell Pearson has been with Pragmatic Works for 8 years as a Data Platform Consultant and the Training Content manager. Mitchell has authored books on SQL Server, Power BI and the Power Platform. Data Platform experience includes designing and implementing enterprise level Business Intelligence solutions with the Microsoft SQL Server stack (T-SQL, SSIS, SSAS, SSRS), the Power Platform and Microsoft Azure.

 

System Requirements

Microsoft Azure Account (Paid or Trial)

What to Know Before Class

This course assumes you have worked with Azure Data Factory and are familiar with basic cloud technologies.

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