#Data Build Tool
Data Build Tool (DBT) is an open-source command-line tool that helps data analysts and engineers transform raw data into trusted, structured datasets. DBT runs in your warehouse (like Snowflake, BigQuery, Redshift, or Databricks), making it highly efficient and scalable. It promotes best practices like documentation, lineage tracking, and CI/CD for data workflows.
Learning DBT is valuable for roles like Analytics Engineer, Data Engineer, and BI Developer.
Training Schedules
Data Build Tool
Course Contents:
Module : Data Build Tool
Ch 1 : DBT Fundamentals
- What is Data Build Tool?
- DBT as a data transformation tool
- Importance of DBT in ELT workflows
- DBT Cloud for data transformations
Ch 2: DBT Models and Materializations
- Building models in DBT
- Types of materializations
- Table, view, incremental materializations
- Model configurations
Ch 3: DBT Jinja Templating
- Introduction to Jinja
- Using Jinja with DBT
- Macros and reusable code
- Implementing dynamic SQL
Ch 4: DBT Testing and Documentation
- Writing and executing tests
- Data quality checks
- DBT documentation and lineage graphs
- Generating DBT docs
Ch 5: DBT Seeds and Sources
- Using seeds for static data
- Defining and using sources
- Source freshness checks
- Integrating external data
Ch 6: DBT Deployment and CI/CD
- Deployment strategies for DBT
- Continuous integration and deployment
- Automating DBT workflows
- Version control with Git
Ch 7: DBT Best Practices
- Project structure recommendations
- Coding standards and guidelines
- DBT project optimization
- Performance tuning tips
Ch 8: Hooks in DBT
- Custom scripts to run at specific points
- Adding additional logic to streamline Snowflake
- Analyses and exploratory data workflows
- Ad-hoc analyses that do not get materialized
Ch 9: DBT Snapshots
- Managing historical data
- Implementing DBT snapshots
- Snapshot configuration
- Strategies for handling changes
Ch 10: DBT Packages and Extensions
- Leveraging DBT packages
- Using community packages
- Extending DBT functionality
- ✓ Integrations with other data tools
Ch 11: DBT Advanced Topics
- Advanced Jinja usage, Snowpark
- Handling complex data scenarios
- Custom materializations, Snowpark
- Troubleshooting and debugging techniques
Ch 12: Real-time Project Phase 1
- Defining project requirements
- Initial project setup and DBT configuration
- Model planning and development
- Initial testing and validation
Ch 13: Real-time Project Phase 2
- Project deployment and monitoring
- Implementing advanced DBT features
- Comprehensive testing and documentation
- Real-world deployment considerations
SQL SCHOOL
24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.
#Top Technologies
Data Build Tool Training FAQs
What is Data Build Tool Job Role?
A dbt Developer works on transforming raw data into clean, analytics-ready datasets using modular SQL in modern data stacks.
🔑 Key Responsibilities:
Build and maintain SQL-based data models
Transform data for reporting and analytics
Write tests to ensure data quality and reliability
Automate workflows using dbt Cloud or CI/CD tools
Document models and track data lineage
Collaborate with analysts and engineers
What are the Job Roles of an Data Build Tool?
💼 Top Job Roles:
- Data Engineer
- Analytics Engineer
- Data Analyst
- BI Developer
- Data Architect
- ETL Developer
- SQL Developer
- Reporting Analyst and more..
What does our Data Build Tool Training course contains?
The course is carefully curated with below module:
👉🏻Module 1: Data Build Tool
Who can join this course?
✅ Freshers aiming to start a career in cloud data and analytics
✅ Working professionals looking to shift into Snowflake or BI roles
✅ ETL & SQL developers upgrading to cloud-based BI and reporting
✅ Students from any background interested in data and dashboards
✅ IT & Non-IT professionals planning to upskill for high-demand roles
✅ Anyone with basic SQL or computer knowledge and a desire to learn
No prior Snowflake or BI tool experience required – training starts from the basics.
What training modes are available?
Option 1: LIVE Online Training (100% Interactive, step by step, assignments)
Option 2: Self Paced Videos (100% practical, step by step with concept wise assignments)
You may choose any one of these options, same curriculum!
I (Trainer) shall be available for doubts and clarifications, assignment check and review.
Why should I choose SQL School for Snowflake BI training?
👉🏻 Every session is Practical, Step by Step with Concept wise FAQs !!
👉🏻 100% results with on-time practice. Daily Tasks for every session.
👉🏻 Concept wise tasks be submitted before next class for Job Waiters / Starters.
👉🏻 Concept wise tasks due for submission by Weekends for Working Professionals.
Why Choose SQL School
- 100% Real-Time and Practical
- ISO 9001:2008 Certified
- Concept wise FAQs
- TWO Real-time Case Studies, One Project
- Weekly Mock Interviews
- 24/7 LIVE Server Access
- Realtime Project FAQs
- Course Completion Certificate
- Placement Assistance
- Job Support
- Realtime Project Solution
- MS Certification Guidance