dbt Data Build Tool Masterclass - Complete Guide to dbt

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Do you want to take part in the next wave of Data Engineering and learn ELT and Analytical Engineer?

Are you looking to master dbt Data Build Tool and unlock the true potential of your data analytics projects?

Do you want to seamlessly transform and manage your data pipelines in a scalable and efficient manner?

If so, then this course if for you. In this comprehensive and hands-on course, you will dive deep into the world of dbt and learn how to leverage its power to build robust data transformation pipelines. Whether you are a data engineer, data analyst, or data scientist, this course will equip you with the essential skills to accelerate your data analytics workflows and become a top Data Engineer and Data Analyst.

Learn from more than 6 hours of relevant instructional video content, with the only course that will go through all dbt concepts to teach you how to deploy dbt Data Build Tool ELT projects. We will go through every single concept from start to finish, from Materializations and Tests, to Incremental Loads and Snapshots.

What is this course all about?

This course has one objective: teach you dbt (Data Build Tool), its features, and use them to transform your data engineering workflows. We do this by creating instructional video content where we go through each dbt concept, one-by-one, and apply it to a practical real-life example.

What is dbt?

dbt (Data Build Tool) is an open-source command-line tool designed for transforming and modeling data in the context of data analytics and data warehousing. It enables data analysts and engineers to define, document, and test data transformation processes using SQL. dbt (Data Build Tool) allows you to build scalable and maintainable data pipelines by providing features like version control, modularity, and dependency management. It promotes the use of SQL as a codebase, enabling collaboration, reproducibility, and automation in data transformation workflows.

What is dbt Core vs. dbt Cloud?

dbt Core refers to the open-source version of dbt that can be installed and run locally on a user's machine or server. It encompasses the essential functionality of dbt, including data modeling, testing, and documentation of data transformations.

dbt Cloud is a cloud-based platform offered by Fishtown Analytics, the creators of dbt. It provides a managed and hosted environment for running dbt projects in the cloud. dbt Cloud goes beyond the core capabilities of dbt Core, offering additional features such as a user-friendly web interface, scheduling and orchestration of dbt runs, collaboration tools, and integration with popular data warehouses and BI tools.

In this course, we will learn about both elements in dbt Core and dbt Cloud, with a particular focus on DBT Cloud.

Why learn dbt?

• Streamline data transformation: dbt enables you to efficiently transform and analyze data in your data warehouse, saving time and effort in the data preparation process.

• Maintain data integrity: dbt (Data Build Tool) provides a structured and version-controlled approach to data transformations, ensuring consistency and reliability in your data pipelines.

• Collaborate effectively: Learning dbt allows you to work seamlessly with data teams, data analysts, and engineers, fostering collaboration and enabling efficient teamwork on data projects.

• Enable scalable analytics: With dbt, you can build scalable and modular data models that can adapt and grow as your organization's data needs evolve, enabling efficient data analysis and reporting.

• Improve data documentation: dbt Data Build Tool encourages documenting data transformations, making it easier for teams to understand and maintain data pipelines, enhancing data governance and knowledge sharing.

• Stay up-to-date with industry standards: dbt has gained significant popularity in the data engineering and analytics community, and learning dbt allows you to stay current with the latest industry practices and trends.

• Enhance career opportunities: Proficiency in dbt can open doors to various job opportunities in data engineering, data analysis, and data operations roles, as many organizations are adopting dbt as a standard data transformation tool.

  
  

Why choose this course?

• Complete guide - this is the start to finish, zero to hero, basic to advanced guide on dbt. There is no other course like it that teaches you everything from start to finish. It has 6 hours of instructional content!

• Structured to succeed - this course is structured to help you succeed. We go through all the features of dbt and learn how to use it in a practical way.

• Fully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually builds applications with you.

• Step by step - we go through every single concept in a sequential order (from learning about dbt Models, Materializations, and more. This improves your probabilities of learning these platforms to build solutions rather than going haphazardly through each feature.

• Learn to learn during the latter parts of the course, we go through situations where we encounter new features or errors, and work through how we would use the documentation to resolve them. In this way, you not only learn about these platforms and how they interact inside and out, but learn how to resolve your own issues as they come up.

• Teacher response if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out video.

• Reference material - follow along! I provide all reference material directly to you so you can follow along in your learning journey.

  
  

Course overview

• Introduction - learn about the course, how to succeed, and the course roadmap

• dbt Account Setup - create your dbt account, set up Snowflake, and load sample data

• dbt Models - Learn to define, structure, and organize your data transformations using dbt models.

• dbt Tests - Master the art of writing tests to ensure the quality and accuracy of your dbt models.

• dbt Materializations - Explore different materialization techniques to optimize the performance and scalability of your dbt models.

• dbt Seeds and Sources - Understand how to incorporate seeds and sources into your dbt projects for data ingestion and initial data setup.

• dbt Cloud Features - Discover the powerful features and functionalities offered by dbt Cloud for seamless collaboration and deployment.

• dbt Jinja and Docs - Harness the power of Jinja templating and generate automated documentation for your dbt projects.

• dbt Load and Custom Macros - Enhance your data loading capabilities and create custom macros to extend the functionality of dbt.

• dbt Snapshots - Learn how to leverage dbt snapshots to capture historical versions of your data for auditing and analysis purposes.

• dbt Hooks - Dive into dbt hooks and learn how to integrate external scripts and actions into your dbt workflows.

• dbt Analyses - Gain expertise in dbt analyses to perform complex data analysis and generate actionable insights using SQL within your dbt projects.

• Conclusion - Wrap up the course and discuss next steps

  
  

If you want to learn dbt Data Build Tool and take a large step in your Data and Analytical Engineering journey, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate.

Music: Bensound