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Create and Monitor Data Pipelines for a Batch Processing Solution

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Bismark Adomako

1:29:36

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  • 1. Course Overview.mp4
    01:36
  • 1. Overview.mp4
    01:18
  • 2. Batch Mode Architecture.mp4
    04:28
  • 3. Choose a Data Storage Approach in Azure.mp4
    06:25
  • 4. Provision and Configure Resources.mp4
    03:36
  • 5. Summary.mp4
    00:22
  • 01. Overview.mp4
    00:54
  • 02. Reviewing the Globomantics Scenario.mp4
    02:57
  • 03. Preparing Data for Upload.mp4
    02:34
  • 04. Configuring the Data Source.mp4
    05:51
  • 05. Configuring the Data Destination.mp4
    06:28
  • 06. Accessing Data Lake Storage - Configuring Key Vault.mp4
    07:28
  • 07. Accessing Data Lake Storage - Creating the Dimension Tables.mp4
    08:35
  • 08. Orchestrating Data Processing with Synapse Pipelines - Linked Services and.mp4
    10:19
  • 09. Orchestrating Data Processing with Synapse Pipelines.mp4
    10:57
  • 10. Summary.mp4
    00:40
  • 1. Overview.mp4
    00:54
  • 2. Design and Implement the Report Views.mp4
    01:40
  • 3. Securing the Serving Layer.mp4
    03:05
  • 4. Designing the Power BI Report.mp4
    03:46
  • 5. Summary.mp4
    00:14
  • 1. Overview.mp4
    00:41
  • 2. Azure Monitor Overview.mp4
    01:20
  • 3. Creating a Diagnostic Setting.mp4
    01:47
  • 4. Analyzing Metrics and Logs.mp4
    01:27
  • 5. Summary.mp4
    00:14
  • Description


    Data analytics at the serving layer come easy with a well designed and implemented data process. This course will teach you key considerations and design principles of creating and monitoring data pipelines for a batch processing solution.

    What You'll Learn?


      As a data specialist, you may be required to design and implement an end-to-end data pipeline for a batch processing solution. In this course, Create and Monitor Data Pipelines for a Batch Processing Solution, you’ll learn to design and implement data pipelines for a batch processing solution. First, you’ll explore the available data storages on Azure. Next, you’ll discover and develop batch processing solutions using Azure Data Factory and the available data storages. Finally, you’ll learn how to automate the data processing process and how to monitor for optimization and efficiency. When you’re finished with this course, you’ll have the skills and knowledge of a data professional needed to build and monitor end-to-end data pipelines.

    More details


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    Bismark Adomako
    Bismark Adomako
    Instructor's Courses
    Bismark believes that education is no longer a one-time investment, but instead a lifelong pursuit and that great authors and mentors can play an invaluable role in finding and developing a fulfilling career. He holds a Bachelor of Science degree in Computer Engineering specializing in Software Engineering, Artificial Intelligence and Distributed computing. He taught courses in robotics and computer vision as a student leader whiles in school, and interned and consulted for the British Council as a Software Engineer and Project Assistant. He currently works as a Business Intelligence and Big Data developer doubling up as a Data Scientist at Ecobank eProcess International S.A. developing machine learning models some of which includes the Customer360 model consisting of a customer segmentation model, customer churn model, and customer cross selling (product recommendation) model. He has enterprise level knowledge in data integration for BI & Data Management domain applications.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 26
    • duration 1:29:36
    • level advanced
    • English subtitles has
    • Release Date 2023/02/20