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PacktPub | Azure Data Factory for Beginners - Build Data Ingestion [Video] [FCO]

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PacktPub | Azure Data Factory for Beginners - Build Data Ingestion [Video] [FCO] (Size: 1.7 GB)
  001. Introduction to Metadata-Driven Ingestion.mp4 13.6 MB
  001. Introduction to the Course.mp4 24.3 MB
  001. Introduction.mp4 28.6 MB
  002. High-Level Plan.mp4 33 MB
  002. Introduction to ADF (Azure Data Factory).mp4 22.7 MB
  002. Read from Azure Storage Plan.mp4 13.3 MB
  003. Create Active Directory User.mp4 9.2 MB
  003. Create Finance Container and Upload Files.mp4 10.1 MB
  003. Requirements Discussion and Technical Architecture.mp4 8.3 MB
  004. Assign the Contributor Role to the User.mp4 18.2 MB
  004. Create Source Dataset.mp4 18.6 MB
  004. Register a Free Azure Account.mp4 20.5 MB
  005. Create a Data Factory Resource.mp4 30 MB
  005. Disable Security Defaults.mp4 8.7 MB
  005. Write to Data Lake - Raw Plan.mp4 23.3 MB
  006. Create Finance Container and Directories.mp4 8.6 MB
  006. Create a Storage Account and Upload Data.mp4 27.3 MB
  006. Creating the Metadata Database.mp4 35.3 MB
  007. Create Data Lake Gen 2 Storage Account.mp4 21.9 MB
  007. Create Sink Dataset.mp4 15.1 MB
  007. Install Azure Data Studio.mp4 24.4 MB
  008. Create Metadata Tables and Stored Procedures.mp4 37.8 MB
  008. Data Factory Pipeline Plan.mp4 16 MB
  008. Download Storage Explorer.mp4 16.9 MB
  009. Create Data Factory and Read Metadata.mp4 23.5 MB
  009. Create Your First Azure Pipeline.mp4 60.9 MB
  009. Reconfigure Existing Data Factory Artifacts.mp4 28.9 MB
  010. Add Filter by CSV.mp4 22 MB
  010. Closing Remarks.mp4 31.5 MB
  010. Set Up Logic App to Handle Email Notifications.mp4 35.5 MB
  011. Add Dataset to Read Files.mp4 12.4 MB
  011. Modify the Data Factory Pipeline to Send an Email Notification.mp4 46.1 MB
  012. Add the For Each CSV File Activity and Test Ingestion.mp4 36.3 MB
  012. Create Linked Service for Metadata Database and Email Dataset.mp4 17.4 MB
  013. Adding the Event-Based Trigger Plan.mp4 12.4 MB
  013. Create Utility Pipeline to Send Email Notifications.mp4 68.9 MB
  014. Enable the Event Grid Provider.mp4 8.8 MB
  014. Explaining the Email Recipients Table.mp4 27.5 MB
  015. Delete File and Add Event-Based Trigger.mp4 6.8 MB
  015. Explaining the Get Email Addresses Stored Procedure.mp4 13.9 MB
  016. Create Event-Based Trigger.mp4 14.4 MB
  016. Modify Ingestion Pipeline to Use the Email Utility Pipeline.mp4 20.8 MB
  017. Publish Code to Main Branch and Start Trigger.mp4 13.9 MB
  017. Tracking the Triggered Pipeline.mp4 67.1 MB
  018. Making the Email Notifications Dynamic.mp4 73.6 MB
  018. Trigger Event-Based Ingestion.mp4 15 MB
  019. Closing Remarks.mp4 21.4 MB
  019. Making Logging of Pipeline Information Dynamic.mp4 47.8 MB
  020. Add a New Way to Log the Main Ingestion Pipeline.mp4 64.7 MB
  021. Change the Logging of Pipelines to Send Fail Message Only.mp4 34.1 MB
  022. Creating Dynamic Datasets.mp4 39 MB
  023. Reading from Source to Target - Part 1.mp4 33.7 MB
  024. Reading from Source to Target - Part 2.mp4 52.8 MB
  025. Explaining the Source to Target Stored Procedure.mp4 18.9 MB
  026. Add Orchestration Pipeline - Part 1.mp4 31.3 MB
  027. Add Orchestration Pipeline - Part 2.mp4 39.2 MB
  028. Fixing the Duplicating Batch Ingestions.mp4 44.2 MB
  029. Understanding the Pipeline Log and Related Tables.mp4 50.1 MB
  030. Understanding the GetBatch Stored Procedure.mp4 25.9 MB
  031. Understanding the Set Batch Status and GetRunID.mp4 18 MB
  032. Setting Up an Azure DevOps Git Repository.mp4 22.5 MB
  033. Publishing the Data Factory to Azure DevOps.mp4 35 MB
  034. Closing Remarks.mp4 17.6 MB
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PacktPub - Azure Data Factory for Beginners - Build Data Ingestion [Video] [FCO]


Video Details

ISBN 9781804610329
Course Length 6 hours 29 minutes

About

Building frameworks is now an industry norm and it has become an important skill to know how to visualize, design, plan, and implement data frameworks. The framework that we are going to build together is the Metadata-Driven Ingestion Framework. Metadata-driven frameworks allow a company to develop the system just once and it can be adopted and reused by various business clusters without the need for additional development, thus saving the business time and costs. Think of it as a plug-and-play system.

The first objective of the course is to onboard you onto the Azure Data Factory platform to help you assemble your first Azure Data Factory pipeline. Once you get a good grip on the Azure Data Factory development pattern, then it becomes easier to adopt the same pattern to onboard other sources and data sinks.

Once you are comfortable with building a basic Azure Data Factory pipeline, as a second objective, we then move on to building a fully-fledged and working metadata-driven framework to make the ingestion more dynamic; furthermore, we will build the framework in such a way that you can audit every batch orchestration and individual pipeline runs for business intelligence and operational monitoring.

By the end of this course, you will be able to design, implement, and get production-ready for data ingestion in Azure.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Azure-Data-Factory-for-Beginners---Build-Data-Ingestion

Author

David Mngadi,

David Mngadi is a data management professional who is influenced by the power of data in our lives and has helped several companies become more data-driven to gain a competitive edge as well as meet the regulatory requirements. In the last 15 years, he has had the pleasure of designing and implementing data warehousing solutions in retail, telco, and banking industries, and recently in more big data lake-specific implementations. He is passionate about technology and teaching programming online.

General Info:
Author
: David Mngadi

Language
: English

Released
: June 2022

Course Source
: https://www.packtpub.com/product/azure-data-factory-for-beginners-build-data-ingestion-video/9781804610329

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