• views: 27
• date: 5 September 2024
• posted by: AD-TEAM

[center]Hands-on Analytics Engineering Bootcamp With: Theory, Building a dbt Project from Scratch, and Deploying to 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: staging, intermediate, and mart models - and naming conventions

How to version control changes to your code with GitHub and VSCode

Advanced dbt testing - creating your own custom singular & generic tests, setting severity, and setting warn/error thresholds

Advanced dbt data modelling - model materialisation and governance (access, contracts, and versions)

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!)

Description

A complete course to help anyone with basic SQL skills learn advanced dbt, a key tool for Analytics Engineering!Welcome to the 2024 Mastering dbt (data build tool) course! This course runs through everything from the theory behind dbt to building an advanced dbt project (from scratch) and deploying it on dbt Cloud.I have over 8 years of experience across Analytics / Analytics Engineering / Data Science, including 4 years using dbt on a daily basis. I was also involved in the rollout of dbt in my time at Monzo Bank! In this course I've taken everything I've learnt over the past 4 years, and what I use on a daily basis, and condensed it to take anyone who knows SQL to an advanced level of dbt as quickly as possible.MY APPROACH TO THIS COURSE:We'll cover everything you need to know about dbt: from the basic data modelling right through to all of the advanced features such as creating custom tests and macros. We'll be doing this step by step, and build from the basics upwards.It's focused on practical outcomes - we won't be spending ages on database theory, or going into lots of detail on the eCommerce dataset we'll be using, instead we'll be aiming to get you up to advanced dbt levels as quickly as possible.For every video where we're writing code, I've created lesson attachments with the final outputs. This means you can either code as you go along, or watch the videos and look at the handouts afterwards! I've also included some theory with these handouts to help hammer home the points made in the videos.There's also a public GitHub repository (which you'll be using for this course) that contains a model final project you can reference throughout.This course isn't static! I'd love to hear your feedback and will be updating this course on an ongoing basis.COURSE STRUCTURE:This course focuses on first getting a good understanding of what problems dbt solves, then building a basic dbt project, before layering on more advanced concepts and finally deploying our project with dbt Cloud.IntroductionSome theory (

   
   
   

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