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    3. Azure Data Factory - Data Engineering With Real Time Project

    Azure Data Factory - Data Engineering With Real Time Project

    Posted By: lucky_aut
    Date: 19 Sep 2025 10:17:21
    Azure Data Factory - Data Engineering With Real Time Project

    Azure Data Factory - Data Engineering With Real Time Project
    Last updated 6/2024
    Duration: 15h 37m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 5.86 GB
    Genre: eLearning | Language: English

    Real Time Project Using Azure Data Factory , ADLS Gen2 , Azure SQL Database , Key Vault , Logic Apps and Azure Monitor

    What you'll learn
    - Design and Development of Azure Data Factory Pipelines for Data Ingestion
    - Design and Development of Azure Data Factory Pipelines for Data Transformation & Loading
    - Design and Development of Azure Data Factory Pipelines for Data Analytical Reporting Database
    - Design and Development of Azure Data Factory to process Semi Structured Data

    Requirements
    - None

    Description
    The course includes most of the  Real Time Scenarios on Developing Data Analytical Project.

    Creating and Configuring Azure Data Lake Storage Gen2, Azure Data Factory, Azure SQL Database

    Developing Metadata Driven Ingestion Pipeline to load source data into the Azure Data Lake Storage Account

    Expertise knowledge on Lookup , Foreach and Copy activities for Ingesting the Source Data

    Dimensional Modelling Design To Design Dimension and Fact Tables

    Creating the Dimension Tables in Azure SQL Database

    Design and Developing the Azure Data Factory  pipelines to load Type1 Dimension Tables

    Design and Development of Type2 Dimension Tables load using Azure Data Factory Pipeline

    Design and Development of Fact tables using Azure Data Factory Pipeline

    Performing Incremental Load in Data Ingestion and Data Transformation Azure Data Factory Pipeline to Process Delta data

    Processing Semi Structured data using Azure Data Factory Dataflow Components

    Automate the Azure Data Factory pipeline run using different type of Triggers Schedule , Tumbling Window and Event

    Configuring Security between Azure Data Factory, Azure Data Lake Storage Account , Azure SQL Database and Azure Key Vault

    Using Azure Key Vault to store the Secrets and use the Secrets in ADF pipelines

    Monitoring the ADF pipeline runs using ADF Monitor and Azure Monitor

    Debugging and Error Handling of Azure Data Factory Pipelines

    Who this course is for:
    - Switch Over to Data Analytics Jobs, Students , Datawarehouse & Business Intelligence Developers, Non Cloud Software Developers
    More Info
    UPWARDS