Azure Data Factory For Data Engineers – Project on Covid19
Azure Data Factory For Data Engineers - Project on Covid19
Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD [DP203]
Product Brand: Udemy
4.7
Udemy Coupon Code for Azure Data Factory For Data Engineers – Project on Covid19 Course. Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD [DP203]
Created by Ramesh Retnasamy | 12.5 hours on-demand video course | 35 downloadable resources
Azure Data Factory Course Overview
Azure Data Factory For Data Engineers – Project on Covid19
I am looking forward to helping you with learning one of the in-demand data engineering tools in the cloud, Azure Data Factory (ADF)! This course has been taught with implementing a data engineering solution using Azure Data Factory (ADF) for a real world problem of reporting Covid-19 trends and prediction of the spread of this virus.
This is like no other course in Udemy for Azure Data Factory or Data Engineering Technologies. Once you have completed the course including all the assignments, I strongly believe that you will be in a position to start a real world data engineering project on your own and also proficient on Azure Data Factory (ADF).
I have also included lessons on the 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 have even included lessons on building reports using Power BI on the data processed by the Azure Data Factory data pipelines. I have considered the machine learning models to be out of scope. You can use this data to build your own models and predict the spread.
The course follows a logical progression of real world project implementation with technical concepts being explained and the data pipelines in Azure Data Factory (ADF) being built at the same time. Even-though this course is not specifically designed to teach you the skills required for passing the Azure Data Engineer Associate Certification exam DP203, it can greatly help you get most of the necessary skills required for the exam.
I value your time as much as I do mine. So, I have designed this course to be fast-paced and to the point. Also, the course has been taught with simple English and no jargons. I start the course from basis and by the end of the course you will be proficient in the technologies used.
What you’ll learn
- You will learn how to build a real-world data pipeline in Azure Data Factory (ADF).
- You will acquire good Data Engineering skills in Azure using Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL Database and Azure Monitor
- You will learn how to ingest data from sources such as HTTP and Azure Blob Storage into Azure Data Lake Gen2 using Azure Data Factory (ADF)
- You will learn how to transform data using Data Flows in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
- You will learn how to transform data using Databricks Notebook Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
- You will learn how to transform data using Azure HDInsight Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
- You will learn how to load transformed data from Azure Data Lake Storage Gen2 to Azure SQL Database using Azure Data Factory (ADF)
- You will learn extensively about Triggers in Azure Data Factory (ADF) and how to use them to schedule the data pipelines.
- You will learn how to monitor pipelines using Azure Data Factory (ADF), Azure Monitor and Log Analytics with a real-world project.
- You will learn how to build production ready pipelines and good practices and naming standards
- You will learn the topics required on Azure Data Factory to pass the Azure Data Engineer Associate Certification Exam DP203
- You will learn about how to create CI/CD pipelines in Azure Devops to release ADF pipelines to higher environments (Testing/ Production)
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Who this course is for
- University students looking for a career in Data Engineering
- IT developers working on other disciplines trying to move to Data Engineering
- Data Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure Technologies
- Data Architects looking to gain an understanding about Azure Data Engineering stack
- Data Scientists who want extend their knowledge into data engineering
Taught by Ramesh Retnasamy
