dbt Data Build Tool Masterclass – Complete Guide to dbt
dbt Data Build Tool Masterclass – Complete Guide to dbt
Learn dbt Data Build Tool and Analytical Engineering | Learn all dbt Features | Build and Deploy dbt | dbt certification
Created by Henry Habib, Imran Immu | 6.5 hours on-demand video course
This dbt Data Build Tool Masterclass – Complete Guide to dbt 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.
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.
dbt (Data Build Tool) Masterclass Course
What you’ll learn
- Learn DBT, a data build tool used for transforming and deploying data in data warehouses
- DBT’s key features and functionalities that make it a powerful tool for data transformation and analytics
- Create a DBT project, including how to initialize the project and explore the project configuration file
- Understand the concept of DBT models and how to build a simple model with SQL
- Learn to define, structure, and organize your data transformations using DBT models
- Master the art of writing tests to ensure the quality and accuracy of your DBT models
- Explore different materialization techniques to optimize the performance and scalability of your DBT models
- Understand how to incorporate seeds and sources into your DBT projects for data ingestion and initial data setup
- Discover the powerful features and functionalities offered by DBT Cloud for seamless collaboration and deployment
- Harness the power of Jinja templating and generate automated documentation for your DBT projects
- Enhance your data loading capabilities and create custom macros to extend the functionality of DBT
- Learn how to leverage DBT snapshots to capture historical versions of your data for auditing and analysis purposes
- Dive into DBT hooks and learn how to integrate external scripts and actions into your DBT workflows
- Gain expertise in DBT analyses to perform complex data analysis and generate actionable insights using SQL within your DBT projects
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Who this course is for:
- Data Analysts who are involved in data analysis, date modelling and data insight creation
- Data Engineers who are in charge of designing and implementing data pipelines, data transformation processes and data infrastructure management
- Data Scientists who work with large amounts of data and perform complex data analysis
- Business Intelligence (BI) professionals who create reports, visualizations and dashboards for data driven decision making
- Data Professionals who are familiar with other data transformation tools or traditional Extract, Transform, Load processes who want to learn DBT as a more efficient and scalable alternative
- Students who want to learn how to take Data and Analytical Engineers to the next level
- Data Analysts who want to become Analytical Engineers at their company
