The Modern Data Stack

Description

Discover dbt, the transformative backbone of modern analytics that applies software engineering rigor to SQL. It ensures trusted, accurate data through built-in testing, documentation, and a streamlined approach that replaces fragile ETL. dbt’s vibrant ecosystem and simplicity accelerate the journey from raw data to insight. Its powerful integration with Snowflake leverages native, elastic scale for unparalleled performance and strengthened governance. Together, they redefine the analytics lifecycle, turning data chaos into clarity and excellence.

Key Features

Grasp dbt’s core philosophy and its role in the modern data stack, from setup with Snowflake to dynamic Jinja SQL. Build a reliable data foundation, master model dependencies, and unlock advanced techniques like macros and materializations. Implement professional practices with packages, testing, and deploy production pipelines using dbt Cloud.

What You Will Learn

Start your dbt journey by learning its philosophy and connecting it to Snowflake. Progress from building basic SQL models to advanced techniques like macros and testing. Gain the confidence to deploy and schedule your own data pipelines.

Who this book is for

This book is designed for data professionals who are new to dbt and have a basic understanding of Snowflake and data warehousing. It’s ideal for analysts, engineers, and developers who want to learn how to integrate dbt with Snowflake and build scalable cloud data warehouses.

Author Biography

Praveena Muralidharan is a seasoned data engineer with over 18 years of experience transforming complex data challenges into powerful solutions for organizations worldwide. Starting her career in 2007 with traditional data warehousing and ETL tools, she built a strong foundation that now fuels her passion for bridging legacy systems with cutting-edge, cloud-native technologies. Specializing in the seamless integration of Snowflake and DBT, Praveena Muralidharan helps companies unlock reliable insights and make smarter, data-driven decisions. With a Master of Science in Software Engineering and multiple certifications in cloud technologies and data management, she combines deep technical expertise with a commitment to mentoring and empowering others. This book brings together her decades of hands-on experience and reflects her mission to equip data professionals with the skills, confidence, and mindset needed to thrive in today’s fast-evolving data landscape through the seamless integration of DBT and Snowflake.