Overview

This book begins by walking you through Snowflake account configuration and its unique three-layered architecture, introducing key architectural pillars. The book covers building data engineering pipelines using various methods like Snowpipe and Snowpark, differentiating between ETL and ELT patterns. Finally, you will learn to architect diverse data patterns, such as data warehouses, data lakes, data mesh, and lakehouses, and explore Snowpark for machine learning, Snowflake Horizon, Cortex, and building generative AI and LLM solutions.

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Pooja Kelgaonkar is a recognized leader in the data architecture and engineering space, and one of the esteemed Snowflake Data Superheroes. With nearly two decades of industry experience, she has built a reputation as a trusted expert in data modernization, distributed systems, and cloud-native data platforms. Over the course of her career, she has held key roles across diverse technology stacks, designing and implementing scalable data solutions that drive business transformation.

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