dbt on Databricks

🚀 Course Overview:

Are you ready to elevate your data analytics game? Dive into the world of scalable, modular, testable, and version-controlled data transformations with our course titled "Building Scalable, Modular, Testable, and Version-Controlled Data Transformation Pipelines with dbt on Databricks". This course is a game-changer for data professionals who aim to master the art of data transformation using dbt (data build tool) integrated with the powerful Databricks platform. 🌟

What You'll Learn:

✅ Introduction to dbt and Key Concepts: Understand the fundamentals of dbt, including Jinja templating and YAML configuration, and see how these tools come together to enhance your data transformation processes efficiently.

✅ Setting Up the Environment: Step-by-step guidance on configuring dbt Cloud with Databricks, incorporating version control, and becoming familiar with core components, data pipelines, and the overall architecture.

✅ Data Modeling and Transformations: Explore multi-layer data architecture and practical approaches for efficient data pipeline construction using dbt commands and best practices, including Bronze, Silver, and Gold models.

✅ Advanced Testing and Validation: Implement comprehensive data quality checks with generic and singular tests offered by dbt, and enhance your functionalities by integrating popular dbt packages like dbt_utils.

✅ Jinja, Macros, and Custom Functions: Master the art of creating reusable and scalable code for various use cases using Jinja syntax, macros, and custom functions to manipulate data models dynamically.

✅ Materializations Explained: Learn different materialization strategies, including tables, views, incremental loads, and snapshots, suitable for scenarios like SCD Type 2 and incremental updates for fact tables.

✅ Deployment and Production Workflows: Configure a production-ready dbt environment on Databricks, manage jobs, deploy models seamlessly, and understand best practices for streamlined CI/CD workflows.

✅ Developing with dbt Core: Experience the flexibility of dbt Core through local project setups, GitHub integration, and learn best practices for version control and collaboration in a Git environment.

✅ Troubleshooting and Advanced Techniques: Gain insights into handling common connection issues, optimizing project performance, and scaling workloads on Databricks.

Who Should Take This Course?

This hands-on course is tailored for:

• Data Engineers
• Analysts
• Architects

who have a solid understanding of SQL and are looking to enhance their skills in data transformation using dbt within the context of Databricks. A basic knowledge of Python, Git, and cloud-based data environments will be beneficial. 👩‍💻✨

Why You Should Enroll Today:

This course promises a blend of practical skills and real-world application to set you apart as an expert in constructing complex analytics workflows. With a mix of hands-on projects, guided exercises, and downloadable resources, you'll walk away with the ability to build, test, and deploy robust data pipelines, making you a highly sought-after resource in the ever-evolving field of data science. 📈💼

Join us on this transformative learning journey and unlock the full potential of your data analytics pipelines with dbt on Databricks! 🚀👍