Introduction to dbt & Modern Data Workflows

SKU: M2032
4 Lesson
|
4 Hours
Learn the basics of dbt and modern data workflows. You will learn how to set up projects, build and run SQL models, test data quality, and create documentation with lineage - building a solid foundation for modern ELT pipelines.
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Introduction to dbt

Overview

Prerequisites

  • Basic SQL (SELECT, WHERE, JOIN, GROUP BY)
  • Basic understanding of data tables and schemas
  • Familiarity with a data warehouse (e.g., Google BigQuery, Snowflake, or Amazon Redshift)

What You Will Learn

  • How dbt fits into modern data workflows
  • Building modular SQL models for data transformation
  • Creating and managing data pipelines inside a warehouse
  • Testing and validating data with dbt tests
  • Understanding dependencies and lineage between datasets
  • Generating documentation and reports for your data models
  • Basics of running dbt commands via CLI or IDE

Key Features

Course Curriculum

1. What is dbt?
2. Why dbt is used?
3. How dbt fits into modern data workflows
1. Installing dbt
2. Creating a dbt project
3. Configuring profiles
1. Writing SQL models
2. Using ref() and source()
3. Running models via dbt CLI
1. Applying built-in tests
2. Generating documentation
3. Viewing model dependencies and lineage
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Course Fees

Online Class Room Program

US $ 99.00
100% Money Back Guarantee
  • Duration : 4 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 28 May 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 30 May 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support
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