Description
Azure Data Factory For Data Engineers – Project on Covid19, a project-based training course on Azure Data Factory for Data Engineers, is published by Udemy Academy. I am eager to help you learn one of the data engineering tools in the cloud (Azure Data Factory). This course is taught by implementing a data engineering solution using Azure Data Factory (ADF) for a real problem about reporting the trend of Covid-19 and predicting the spread of this virus. This course is like no other course on Udemy for Azure Data Factory or data engineering technologies. After completing the course and all the related assignments, I strongly believe that you will be able to start a real data engineering project and also proficient in Azure Data Factory (ADF).
I have also included lessons on storage solutions such as Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database, etc. Also, there are lessons on Azure HDInsight and Azure Databricks. I even teach lessons on building reports using Power BI on data processed by Azure Data Factory data pipelines. This step-by-step course is implemented simultaneously with the implementation of the actual project along with the explanation of technical concepts and the creation of data pipelines in the Azure Data Factory (ADF). Although this course is not specifically designed to teach the skills required to pass the Azure Data Engineering certification exam, it can greatly help you acquire the skills necessary to participate in this exam.
What you will learn
- You’ll learn how to build a real-world data pipeline in Azure Data Factory.
- You will gain good skills in data engineering in Azure using Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Database and Azure Monitor.
- You will learn how to move data from sources such as HTTP and Azure Blob Storage to Azure Data Lake Gen2 using Azure Data Factory.
- You will learn how to transform and load data into Azure Data Lake Storage Gen2 using Data Flows in Azure Data Factory.
- You will learn how to transform data using Databricks Notebook Activity in Azure Data Factory and upload to Azure Data Lake Storage Gen2.
- You will learn how to transform and load data into Azure Data Lake Storage Gen2 using Azure HDInsight Activity in Azure Data Factory (ADF).
- You will learn how to load data converted from Azure Data Lake Storage Gen2 to Azure SQL Database using Azure Data Factory.
- In this article, you will learn about Triggers in Azure Data Factory and how to use them to schedule data pipelines.
Who is this course suitable for?
- University students looking for careers in data engineering
- IT developers who are working on other disciplines and want to switch to data engineering.
- Data Engineers and Data Warehouse Developers who are currently working on cloud-based technologies or other cloud platforms such as AWS or GCP and want to learn Azure Technologies.
- Data architects looking to learn Azure Data Engineering
- Data scientists who want to expand their knowledge in data engineering
Details of Azure Data Factory For Data Engineers course – Project on Covid19
- Publisher: Udemy
- teacher: Ramesh Retnasamy
- English language
- Education level: all levels
- Number of courses: 146
- Training duration: 12 hours and 45 minutes
The chapters of Azure Data Factory For Data Engineers – Project on Covid19 course
Course prerequisites
- Basic understanding about cloud computing will be useful, but not necessary.
- Experience in Azure is not required, I will take you through everything necessary to learn this course and build the project
- An Azure Account is required, if you don’t have one we will create a free account in the course
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
Subtitles: English, Bulgarian, Czech, Danish, Dutch, Estonian, Finnish, French, German, Greek, Hungarian, Indonesian, Italian, Korean, Latvian, Lithuanian, Portuguese, Romanian, Chinese, Slovak, Spanish, Swedish, Ukrainian
Quality: 1080p
Changes:
Version 10/2023 compared to 2023/1 has not changed in the number of courses and duration of the course, but the quality of the course has increased from 720p to 1080p.
download link
File(s) password: www.downloadly.ir
Size
4.92 GB
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