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dbt (Data Build Tool): The Analytics Engineering Guide

Develop essential engineering skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of engineering
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of engineering
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in engineering
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Take your skills as a data professional to the next level with this Hands-on Course course on dbt, the Data Build Tool. Start your journey toward mastering Analytics Engineering by signing up for this course now. This course aims to give you the necessary knowledge and abilities to effectively use dbt in your data projects and help you achieve your goals.

This course will guide you through the following:Understanding the dbt architecture: Learn the fundamental principles and concepts underlying dbt. Developing dbt models: Discover how to convert business logic into performant SQL queries and create a logical flow of models. Debugging data modeling errors: Acquire skills to troubleshoot and resolve errors that may arise during data modeling.

Monitoring data pipelines: Learn to monitor and manage dbt workflows efficiently. Implementing dbt tests: Gain proficiency in implementing various tests in dbt to ensure data accuracy and reliability. Deploying dbt jobs: Understand how to set up and manage dbt jobs in different environments.

Creating and maintaining dbt documentation: Learn to create detailed and helpful documentation for your dbt projects. Promoting code through version control: Understand how to use Git for version control in dbt projects. Establishing environments in data warehouses for dbt: Learn to set up and manage different environments in your data warehouse for dbt projects.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Science & Academia

Topics Covered

EngineeringAnalyticsUi

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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