The Modern Data Stack

<p><strong>Description</strong></p><p>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.</p><p></p><p><strong>Key Features</strong></p><p>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.</p><p></p><p></p><p><strong>What You Will Learn</strong></p><p>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.</p><p></p><p></p><p><strong>Who this book is for</strong></p><p>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.</p><p></p><p></p><p></p>