Udemy - Mastering Dbt (Data Build Tool) - From Beginner To Pro

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Udemy - Mastering Dbt (Data Build Tool) - From Beginner To Pro (Size: 4 GB)
  1 - Instructor introduction.mp4 34.2 MB
  10 - dbt Core vs dbt Cloud.mp4 23.2 MB
  11 - Section overview.mp4 8.2 MB
  12 - Creating a Gmail account.mp4 7.9 MB
  12 - Link to Google signup page.txt 0 B
  13 - Link to Google BigQuery.txt 0 B
  13 - Setting up a BigQuery project with billing.mp4 19.5 MB
  14 - Link to BigQuery UI.txt 0 B
  14 - Link to Google Cloud Billing.txt 0 B
  14 - Optional If you have issues with BigQuery billing.mp4 11.9 MB
  15 - Link to BigQuery UI.txt 0 B
  15 - The BigQuery UI.mp4 35.4 MB
  16 - Link to the dataset well be using.txt 102.4 B
  16 - The dataset youll be using.mp4 32.2 MB
  17 - Link to Python 310 download page.txt 102.4 B
  17 - Mac Installing Python 310.mp4 13.2 MB
  18 - Link to Python 310 download page.txt 102.4 B
  18 - Windows Installing Python 310.mp4 15.3 MB
  18 - Windows Python install instructions.txt 102.4 B
  19 - Downloading VSCode and setting up shortcuts.mp4 43.1 MB
  19 - Link to VSCode download page.txt 0 B
  19 - keybindings.json 512 B
  19 - keyboard-shortcuts-macos.pdf 202.4 KB
  19 - keyboard-shortcuts-windows.pdf 142.3 KB
  2 - 1b-c.Course-outline-introduction.pdf 35.5 KB
  2 - Course outline.mp4 30.1 MB
  20 - Creating a GitHub account.mp4 17 MB
  20 - Link to GitHub account creation page.txt 0 B
  21 - 2i.Forking-vs.cloning.pdf 157.6 KB
  21 - Forking vs cloning.mp4 22.2 MB
  22 - Forking the repository.mp4 16.2 MB
  22 - Link to the repository well be using for this course.txt 102.4 B
  23 - Optional If you have issues syncing your forked repository.mp4 59.8 MB
  24 - Installing the recommended extensions in VSCode.mp4 3.5 MB
  25 - 2m.Whats-a-venv.pdf 124.7 KB
  25 - Whats a virtual environment venv.mp4 25.3 MB
  26 - Adding Python to path in Windows.txt 102.4 B
  26 - Python guide for Windows.txt 0 B
  26 - Setting up our virtual environment and installing packages.mp4 22.5 MB
  27 - Link to dbt docs on BigQuery setup.txt 102.4 B
  27 - Link to gcloud install page.txt 0 B
  27 - Setting up dbt for BigQuery.mp4 21.6 MB
  28 - Lesson-notes-trialling-the-model-project.pdf 70.8 KB
  28 - Trialling our model dbt project.mp4 46.4 MB
  29 - Link to the autocomplete repository.txt 0 B
  29 - Setting up dbt autocomplete.mp4 22.7 MB
  3 - Course introduction.mp4 38.5 MB
  30 - Run through of how our final project will look.mp4 66.1 MB
  31 - Lesson-notes-dbt-init.pdf 26.7 KB
  31 - The dbt init command.mp4 29 MB
  32 - Version control with GitHub.mp4 69.8 MB
  33 - Debugging-dbt-Power-User.pdf 135.8 KB
  33 - Setting up dbt Power User.mp4 84.5 MB
  33 - keybindings.json 512 B
  33 - settings.json 1.3 KB
  34 - How well structure our project.mp4 56.1 MB
  35 - Creating our first source src yml file.mp4 48.2 MB
  35 - Lesson-notes-sources.pdf 39.6 KB
  35 - Link to dbt documentation on version 2.txt 0 B
  36 - Creating our first staging stg SQL model.mp4 73.2 MB
  36 - Lesson-notes-our-first-SQL-model.pdf 40.8 KB
  37 - Lesson-notes-running-our-first-SQL-file.pdf 32.3 KB
  37 - Running our first staging stg SQL model.mp4 41.3 MB
  38 - Creating our first model yml file.mp4 24.1 MB
  38 - Lesson-notes-generating-our-first-model-yml-file.pdf 33.7 KB
  39 - Adding tests to our first model yml file.mp4 79.5 MB
  39 - Lesson-notes-adding-tests-to-our-first-model-yml-file.pdf 27 KB
  4 - A brief history of the data stack.mp4 33.7 MB
  40 - Lesson-notes-default-materialisation.pdf 26.2 KB
  40 - Setting up our models to materialise as tables instead of views.mp4 48.4 MB
  41 - Getting the rest of our staging stg SQL models set up.mp4 34.2 MB
  42 - Link the dbt clean command.txt 0 B
  42 - Using dbt clean to get table materialisation working.mp4 16.6 MB
  43 - Getting the rest of the staging stg yml files set up.mp4 77.8 MB
  43 - Lesson-notes-other-staging-yml-files.pdf 37.5 KB
  44 - Taking stock of our staging stg data models.mp4 43 MB
  45 - The target folder.mp4 66.3 MB
  46 - Getting our first intermediate int SQL model set up.mp4 55 MB
  46 - Lesson-notes-first-int-SQL-model.pdf 41.8 KB
  47 - Getting our first intermediate int yml file set up.mp4 91.6 MB
  47 - Lesson-notes-first-int-yml-file.pdf 34.8 KB
  48 - Getting our mart SQL model set up.mp4 88.8 MB
  48 - Lesson-notes-first-mart-SQL-model.pdf 55.4 KB
  49 - Getting our mart yml file set up.mp4 56.6 MB
  49 - Lesson-notes-first-mart-yml-file.pdf 30.2 KB
  5 - Benefits of dbt inferring dependencies.mp4 54.5 MB
  50 - Lesson-notes-basic-project-complete.pdf 50.1 KB
  50 - Our basic dbt project is now complete.mp4 20.2 MB
  51 - Lesson-notes-default-severity.pdf 30.2 KB
  51 - Setting default test severity in dbtprojectyml.mp4 49.6 MB
  52 - Link to dbt documentation on severity.txt 102.4 B
  52 - Setting test severity and thresholds.mp4 107.4 MB
  53 - Link to dbt codegen repo.txt 0 B
  53 - Link to dbt expectations repo.txt 0 B
  53 - Link to dbt utils repo.txt 0 B
  53 - The external dbt packages well be using.mp4 95.8 MB
  54 - Lesson-notes-dbt-utils-expectations.pdf 28.4 KB
  54 - dbtutils and dbtexpectations.mp4 92.1 MB
  55 - Custom singular tests.mp4 72.2 MB
  55 - Lesson-notes-custom-singular-tests.pdf 35.8 KB
  55 - Link to dbt documentation on tests.txt 0 B
  56 - Custom generic tests.mp4 99.6 MB
  56 - Lesson-notes-custom-generic-tests.pdf 46.2 KB
  56 - Link to dbt documentation on custom generic tests.txt 102.4 B
  57 - Applying advanced tests to our whole project.mp4 45.7 MB
  57 - Lesson-notes-applying-advanced-tests-to-our-whole-project.pdf 50.5 KB
  58 - Lesson-notes-source-freshness.pdf 27.5 KB
  58 - Link to dbt documentation on source freshness.txt 102.4 B
  58 - Source freshness tests.mp4 41.8 MB
  59 - Lesson-notes-the-doc-function.pdf 34.3 KB
  59 - Link to dbt documentation on the doc function.txt 102.4 B
  59 - The doc function.mp4 69.4 MB
  6 - Benefits of dbt documentation testing.mp4 52.8 MB
  60 - Lesson-notes-seeds.pdf 33.1 KB
  60 - Link to dbt documentation on seeds.txt 0 B
  60 - Seed files.mp4 51.4 MB
  61 - Lesson-notes-snapshots.pdf 37.4 KB
  61 - Link to dbt documentation on snapshots.txt 0 B
  61 - dbt snapshots.mp4 106 MB
  62 - 5d.Materialisation-strategies.pdf 358.9 KB
  62 - Link to dbt documentation on materialisations.txt 0 B
  62 - Materialisation types.mp4 30.9 MB
  63 - Lesson-notes-ephemeral-models.pdf 49.2 KB
  63 - Materialisation ephemeral models.mp4 104.8 MB
  64 - Lesson-notes-incremental-models.pdf 42.6 KB
  64 - Link to dbt documentation on incremental models.txt 102.4 B
  64 - Link to dbt documentation on the this function.txt 102.4 B
  64 - Materialisation incremental models.mp4 139.1 MB
  65 - Lesson-notes-partitioned-tables.pdf 36.4 KB
  65 - More information on BigQuery partitioned tables.txt 102.4 B
  65 - Optional Partitioning a table in BigQuery.mp4 43 MB
  66 - Commands for a clean dbt run.mp4 29.4 MB
  67 - Lesson-notes-using-different-profiles.pdf 64.3 KB
  67 - Link to dbt documentation on profiles.txt 102.4 B
  67 - Using different dbt profiles.mp4 39.4 MB
  68 - Lesson-notes-selectors.pdf 40.1 KB
  68 - Link to dbt documentation on graph operators.txt 102.4 B
  68 - Selectors.mp4 54.9 MB
  69 - Lesson-notes-tags.pdf 28.8 KB
  69 - Link to dbt documentation on tags.txt 102.4 B
  69 - Tags.mp4 22.8 MB
  7 - Benefits of dbt Pythonlike functionality.mp4 61.3 MB
  70 - Indirect test selection.mp4 75.1 MB
  70 - Lesson-notes-indirect-selection.pdf 30 KB
  70 - Link to dbt documentation on test selection.txt 102.4 B
  71 - dbt test with warnerror.mp4 29.1 MB
  72 - Lesson-notes-dbt-build.pdf 27.2 KB
  72 - Link to dbt documentation on the build command.txt 0 B
  72 - dbt build.mp4 18.7 MB
  73 - Link to dbt documentation on docs generate serve.txt 0 B
  73 - dbt docs generate serve.mp4 32.3 MB
  74 - Jinja comments statements and expressions.mp4 32.3 MB
  74 - Lesson-notes-jinja.pdf 33.1 KB
  74 - Link to dbt documentation on jinja macros.txt 0 B
  75 - The 3 types of macro functions hooks operations.mp4 42.8 MB
  75 - macro-details.md 1.6 KB
  76 - Lesson-notes-jinja-function-reference.pdf 30.7 KB
  76 - Link to inbuilt dbt jinja functions.txt 102.4 B
  76 - Optional dbt Jinja function reference.mp4 38.6 MB
  77 - Lesson-notes-operations.pdf 37.4 KB
  77 - Link to dbt documentation on operations.txt 0 B
  77 - Macros operations.mp4 104.7 MB
  78 - Lesson-notes-functions.pdf 52.2 KB
  78 - Link to dbt documentation on why not to nest curly brackets.txt 102.4 B
  78 - Link to dbt documentation on why you quote column names in Jinja.txt 102.4 B
  78 - Macros functions building a basic macro.mp4 48.8 MB
  79 - Lesson-notes-hooks.pdf 41.1 KB
  79 - Link to dbt documentation on hooks.txt 102.4 B
  79 - Macros hooks.mp4 69.4 MB
  8 - How dbt has solved a lot of problems in the data stack.mp4 24.8 MB
  80 - Jinja statements for loops and setting variables.mp4 50.5 MB
  80 - Lesson-notes-for-loops-and-setting-variables.pdf 38 KB
  81 - Lesson-notes-the-target-function.pdf 49.3 KB
  81 - Link to dbt documentation on custom schemas.txt 0 B
  81 - Link to dbt documentation on the target function.txt 102.4 B
  81 - Optional Jinja using the target function.mp4 47.1 MB
  82 - Creating a dbt Cloud account.mp4 3.8 MB
  82 - Link to dbt Cloud setup.txt 0 B
  83 - Link to dbt documentation on BigQuery connections.txt 102.4 B
  83 - Setting up a service account.mp4 31.9 MB
  84 - Connecting GitHub to dbt Cloud.mp4 10.7 MB
  85 - The dbt Cloud IDE.mp4 46.5 MB
  86 - Deploying jobs on dbt Cloud.mp4 78.9 MB
  86 - Link to dbt documentation on deployments.txt 0 B
  86 - Link to dbt documentation on environment variables.txt 102.4 B
  9 - 1d-i.Introduction-to-dbt.pdf 1.2 MB
  9 - How dbt fits in the data stack.mp4 52.5 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 189 total files

Description


Mastering Dbt (Data Build Tool) - From Beginner To Pro
https://DevCourseWeb.com

Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.98 GB | Duration: 6h 46m

Analytics Engineering Bootcamp to take you from beginner to advanced dbt, and get hands-on with dbt Cloud!

What you'll learn
How to build a complete dbt project from scratch
The main benefits of dbt, and a bit of background as to how it came about
All of the dbt fundamentals: sources, models, tests, documentation, snapshots, seeds, macros, hooks, and operations
How to structure a dbt project
How to version control changes to your code with GitHub
Advanced dbt testing - creating your own custom singular & generic tests, setting severity, and setting warn/error thresholds
Advanced dbt data modelling - including incremental and ephemeral models and what type to use (& when)
Advanced dbt commands - how to use different selectors, different profiles, tags, indirect test selection and building a local dbt documents site
Advanced dbt jinja & macros - creating your own macros to use in hooks / functions / operations, using jinja for loops and variables, and the target function
How to deploy your project on dbt Cloud, how to use the dbt Cloud UI, and using environment variables
How to use tests & macros from external packages to supercharge your dbt project
Best practises to use when running a dbt project (based on lots of experience!)
How to create a complete setup for Mac or Windows: installing all of the tools and getting a dbt specific VSCode setup!

Requirements
Basic SQL
No Python experience needed
Mac / Windows machine which is capable of installing Python, Git, and VSCode (we'll run through all of this in the course!)

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