Get a clear understanding of the methods and tools involved in creating data ingestion using Azure data factory.
Data integration from a variety of sources is made possible by the Microsoft cloud service Azure Data Factory, which is part of the Azure platform. When creating combination extract-transform-load (ETL), extract-load-transform (ELT), and data integration pipelines, Azure Data Factory is the optimal solution. David Charles Academy - Big Data Engineer & Consultant at ABN AMRO, developed the Azure Data Factory for Beginners - Build Data Ingestion online certification, which is provided by Udemy.
Azure Data Factory for Beginners - Build Data Ingestion online course involves more than 12.5 hours of lectures supported by 6 downloadable resources, which is intended for those who want to learn data engineering methods for creating metadata-driven frameworks using Azure data engineering tools like Azure data factory, Azure SQL, and Azure DevOps. Azure Data Factory for Beginners - Build Data Ingestion online classes also discusses the concepts and strategies involved with email notifications, event-driven ingestion, version management, data lake, and more.
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Udemy
After completing the Azure Data Factory for Beginners - Build Data Ingestion certification course, participants will gain an insight into the Azure platform for data engineering activities as well as will acquire a solid understanding of the functionalities of Azure data factory and Azure blob storage for data ingestion. In this data ingestion certification, participants will explore the fundamentals of Azure data lake storage as well as will acquire an understanding of the concepts involved with metadata-driven ingestion and event-driven ingestion. In this data ingestion course, participants will learn about strategies involved with version management, logic applications, email notifications, Azure DevOps, and data lake.
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