[ FreeCourseWeb ] PluralSight - Create and Monitor Data Pipelines for a Batch Processing Solution

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[ FreeCourseWeb.com ] PluralSight - Create and Monitor Data Pipelines for a Batch Processing Solution
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01. Course Overview
    • 01. Course Overview.mp4 (2.8 MB)
    • 01. Course Overview.mp4.jpg (147.3 KB)
    02. Working with Data Storage
    • 02. Overview.mp4 (2.1 MB)
    • 03. Batch Mode Architecture.mp4 (9.4 MB)
    • 04. Choose a Data Storage Approach in Azure.mp4 (9.2 MB)
    • 05. Provision and Configure Resources.mp4 (11.4 MB)
    • 06. Summary.mp4 (551.5 KB)
    03. Creating and Orchestrating Data Movement
    • 07. Overview.mp4 (1.3 MB)
    • 08. Reviewing the Globomantics Scenario.mp4 (5.3 MB)
    • 09. Preparing Data for Upload.mp4 (4.3 MB)
    • 10. Configuring the Data Source.mp4 (12.2 MB)
    • 11. Configuring the Data Destination.mp4 (14.4 MB)
    • 12. Accessing Data Lake Storage - Configuring Key Vault.mp4 (16.6 MB)
    • 13. Accessing Data Lake Storage - Creating the Dimension Tables.mp4 (27.7 MB)
    • 14. Orchestrating Data Processing with Synapse Pipelines - Linked Services and Datasets .mp4 (24.2 MB)
    • 15. Orchestrating Data Processing with Synapse Pipelines.mp4 (31.4 MB)
    • 16. Summary.mp4 (840.1 KB)
    04. Design and Implement the Serving Layer
    • 17. Overview.mp4 (1.4 MB)
    • 18. Design and Implement the Report Views.mp4 (4.1 MB)
    • 19. Securing the Serving Layer.mp4 (8.2 MB)
    • 20. Designing the Power BI Report.mp4 (7.6 MB)
    • 21. Summary.mp4 (329.4 KB)
    05. Monitoring Data Storage and Processing
    • 22. Overview.mp4 (1.1 MB)
    • 23. Azure Monitor Overview.mp4 (1.8 MB)
    • 24. Creating a Diagnostic Setting.mp4 (3.3 MB)
    • 25. Analyzing Metrics and Logs.mp4 (1.9 MB)
    • 26. Summary.mp4 (294.6 KB)
    • Bonus Resources.txt (0.3 KB)
      • Exercise Files 02
      • working-with-data-storage-slides.pdf (700.4 KB)
      03
      • creating-and-orchestrating-data-movement-slides.pdf (744.4 KB)
        • demos demo
        • DS_ADLK_CUSTOMER_DATA.json (1.3 KB)
        • DS_ADSP_TABLES.json (0.4 KB)
        • DS_Store (10.0 KB)
        • LS_psadbw.json (0.7 KB)
        • LS_psbs.json (0.6 KB)
        • LS_pskv.json (0.2 KB)
        • PL_CUSTOMER_ACQUISITION.json (13.7 KB)
        • PL_DIMENSIONS_PROCESSING.json (0.9 KB)
        • PL_PROCESS_ANALYTICS.json (1.0 KB)
          • PL_PROCESS_ANALYTICS_support_live
          • DS_Store (8.0 KB)
            • dataset
            • DS_ADLK_CUSTOMER_DATA.json (1.3 KB)
            • DS_ADSP_TABLES.json (0.4 KB)
            integrationRuntime
            • AutoResolveIntegrationRuntime.json (0.4 KB)
            linkedService
            • LS_psadbw.json (0.7 KB)
            • LS_psbs.json (0.6 KB)
            • LS_pskv.json (0.2 KB)
            • psasaw-WorkspaceDefaultSqlServer.json (0.6 KB)
            • psasaw-WorkspaceDefaultStorage.json (0.4 KB)
            pipeline
            • PL_CUSTOMER_ACQUISITION.json (13.7 KB)
            • PL_DIMENSIONS_PROCESSING.json (0.9 KB)
            • PL_PROCESS_ANALYTICS.json (1.0 KB)
            sqlPool
            • GlobomanticsDWH.json (0.3 KB)
            trigger
            • TG_DAILY.json (0.8 KB)
          • Process Dimension Tables.dbc (4.4 KB)
          • TG_DAILY.json (0.6 KB)
            • data
            • DS_Store (8.0 KB)
              • branch
              • branch.json (1.1 KB)
              customer 2021 01
              • customers_2021-01-01.json (54.5 KB)
              • customers_2021-01-02.json (49.7 KB)
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              02
              • customers_2021-02-01.json (51.0 KB)
              • customers_2021-02-02.json (50.2 KB)
              • customers_2021-02-03.json (55.3 KB)
              • customers_2021-02-04.json (52.0 KB)
              • customers_2021-02-05.json (49.3 KB)
              • customers_2021-02-06.json (52.4 KB)
              • customers_2021-02-07.json (48.6 KB)
              • customers_2021-02-08.json (48.6 KB)
              • customers_2

Description

Create and Monitor Data Pipelines for a Batch Processing Solution

Duration: 1h 29m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 217 MB
Level: Advanced | Genre: eLearning | Language: English

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.
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.

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[ FreeCourseWeb ] PluralSight - Create and Monitor Data Pipelines for a Batch Processing Solution

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217.5 MB
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[ FreeCourseWeb ] PluralSight - Create and Monitor Data Pipelines for a Batch Processing Solution

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