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Data Engineering with dbt

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Mark Freeman

1:16:07

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  • 01 - Build your first dbt project.mp4
    00:52
  • 02 - Introducing the dbt project.mp4
    02:22
  • 03 - The project in GitHub Codespaces.mp4
    01:09
  • 01 - Install the dbt Core via pip.mp4
    00:52
  • 02 - Install the dbt connector to DuckDB.mp4
    01:10
  • 03 - Install DuckDB via pip.mp4
    00:44
  • 04 - Update your requirements.txt file within your project.mp4
    00:50
  • 01 - Create your database file.mp4
    02:42
  • 02 - Import CSV data into your new database.mp4
    03:28
  • 01 - Start your project with dbt init.mp4
    01:35
  • 01 - Understand the dbt project.yml file.mp4
    01:44
  • 02 - Create your profiles YAML file.mp4
    02:02
  • 03 - Connect your profiles and project YAML files.mp4
    02:19
  • 01 - Create your first dbt model file.mp4
    01:45
  • 02 - Using the dbt CLI commands.mp4
    03:32
  • 01 - Create your dbt model utilizing ref.mp4
    02:22
  • 02 - Run your dbt models with the ref syntax.mp4
    01:24
  • 03 - View your dbt project data lineage.mp4
    02:06
  • 01 - Planning your medallion architecture project.mp4
    00:57
  • 02 - Medallion architecture Bronze data.mp4
    04:23
  • 03 - Medallion architecture Silver data.mp4
    05:47
  • 04 - Medallion architecture Gold data.mp4
    03:34
  • 01 - Materialization in your dbt project.mp4
    01:55
  • 02 - Implement materialization in your dbt project.yml file.mp4
    02:12
  • 01 - Further documentation via schema.yml file.mp4
    03:22
  • 02 - The docs blocks.md file.mp4
    04:50
  • 01 - Creating custom singular tests.mp4
    03:26
  • 02 - Implementing tests within the schema.yml file.mp4
    03:49
  • 01 - Utilizing multiple dbt profiles.mp4
    03:07
  • 02 - Deploying with GitHub workflows.mp4
    05:08
  • 01 - Next steps.mp4
    00:39

    • Description

    Data Build Tool (dbt) has quickly become an essential tool in many data stacks ranging from startups to big tech for managing data transformations. In this course, data engineer Mark Freeman helps you get started with setting up, running, and managing a dbt project via the open-source offering dbt Core. Learn how to install dbt Core, configure an environment for dbt, create and manage a dbt project, and deploy a dbt project in production. If you’re a data professional tasked with implementing dbt within your organization, recently joined a team utilizing dbt and need to upskill, or just want to learn about dbt to increase your competitiveness within the data job market, check out this course.

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    Data Science

    Mark Freeman
    Mark Freeman
    Instructor's Courses
    Linkedin Learning
    Linkedin Learning
    View courses Linkedin Learning
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 31
    • duration 1:16:07
    • English subtitles has
    • Release Date 2024/04/20

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