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]
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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)
