Transform Your Data Warehouse With dbt
SQL-based transformations, automated testing, and data documentation — Bookuvai builds production-grade dbt projects.
Platform: dbt (Data Transformation)
dbt (data build tool) enables data teams to transform data in the warehouse using SQL with software engineering best practices. Bookuvai builds dbt projects with dimensional models, incremental processing, automated testing, and documentation for modern data stacks.
What We Build
- Data Models: Dimensional models, marts, and staging layers with clear naming conventions and documentation.
- Incremental Models: Efficient incremental processing for large datasets with merge strategies and late-arriving data handling.
- Data Testing: Comprehensive test suites with schema tests, custom tests, and dbt expectations for data quality.
- dbt Packages: Custom dbt packages for reusable macros, tests, and transformations across projects.
Integration Capabilities
- Warehouse Support: Works with Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, and other SQL-based warehouses.
- dbt Cloud: Managed dbt execution with scheduling, CI/CD, IDE, and documentation hosting.
- Data Lineage: Automatic data lineage graphs showing dependencies between models, sources, and exposures.
- dbt Packages Hub: Leverage community packages for common transformations, tests, and utility macros.
Typical Projects
- Data Model Redesign: Rebuild staging, intermediate, and mart layers with testing, documentation, and CI/CD. (40-80, $80-$160)
- dbt Project Setup: Initial dbt project structure with source configuration, staging models, and testing framework. (20-40, $40-$80)
- Migration to dbt: Migrate existing SQL scripts and stored procedures to dbt models with version control. (30-60, $60-$120)
Frequently Asked Questions
- Should we use dbt Core or dbt Cloud?
- dbt Core is free and open-source for teams with DevOps capabilities. dbt Cloud adds scheduling, IDE, CI/CD, and documentation hosting. We help choose based on your team.
- Can dbt handle our data volume?
- dbt pushes computation to your warehouse, so it scales with your warehouse capacity. We optimize with incremental models for large datasets.
- How do you ensure data quality with dbt?
- We implement schema tests, custom data tests, freshness checks, and dbt expectations for comprehensive data quality monitoring.