dbt on Databricks

Overview

Are you ready to unlock the full potential of your data analytics pipelines? dbt on Databricks is a comprehensive course tailored for data professionals aiming to master data transformation using dbt (data build tool) on the Databricks platform, harnessing the power of Apache Spark for scalable and efficient workflows.

Syllabus

• Introduction to dbt and Databricks
Overview of dbt and its role in data transformation
Introduction to Databricks and Apache Spark
• Setting Up Your Environment
Installing dbt on Databricks
Configuring dbt profiles for Databricks
• Fundamentals of dbt
Understanding the dbt workflow
Writing basic dbt models
Utilizing macros and variables
• Advanced dbt Techniques
Implementing tests and documentation
Strategies for model optimization
Using hooks and operations
• Leveraging Apache Spark with dbt
Overview of Apache Spark architecture
Integrating Spark SQL with dbt models
Managing large datasets with Spark
• Implementing dbt in Databricks
Running dbt jobs in Databricks notebooks
Scheduling and orchestrating dbt runs in Databricks
• Data Quality and Testing
Best practices for data testing in dbt
Automating tests on Databricks
• Debugging and Optimization
Identifying and resolving performance bottlenecks
Profiling and optimizing queries with dbt and Spark
• Use Cases and Real-world Applications
Case studies of dbt on Databricks implementations
Success stories from industry
• Course Project
Designing and implementing a data transformation pipeline using dbt on Databricks
Presentation and peer review of projects
• Conclusion and Next Steps
Recap of key concepts
Resources for further learning and development

Taught by

Malvik Vaghadia

Subjects

Business