Скачать или смотреть Introduction to Azure Data Factory

Azure Data Factory (ADF) is a cloud-based service for data integration. ADF is used to integrate disparate data sources from across your organization including data in the cloud and data that is stored on-premises.

In this course, you will learn how to create data-driven pipelines to direct the movement of data.

This is tailor made for someone who is coming from a background with no prior knowledge of Azure Data Factory and would like to start off their career in the data world, especially around administering Azure Data factory . It is a platform somewhat like SSIS in the cloud to manage the data you have both on-prem and in the cloud.

👉Following topics are covered in this Azure Data factory for Beginners video:
0:07- Introduction of course
0:44 - Orchestration of task
2:58 - Data factory
4:30 - Tools ( Apache airflow)
6:00 - Difference between airflow and azure databricks
6:27- Azure data factory and ssis
7:45 - ETL and ELT
9:40 - What is Azure Data factory
11:00 - Why Azure Factory
12:30 - Fun facts about Azure Data Factory
14:20 - Summary

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🔵 Why should you opt for an Azure data factory course ?

It allows organizations to create data-driven workflows in the cloud for orchestrating and automating data movement and for data transformation. By using leveraging Azure Data Factory, the casino can create and schedule pipelines, or data-driven workflows, that can ingest data from different data stores.