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Data engineering is the practice of building solutions that extract data from source systems, transform the data into useful information, and present the harmonized data to users for downstream consumption. Data engineers are responsible for building data pipelines that enable data analysts, data scientists, and other users to access the data they need to do their jobs. Providing high-quality data on time is essential for effective analytics, which is why data engineers play a critical role in the data analytics domain.

This book teaches data engineering skills on the powerful Snowflake platform. It starts by guiding you in building your first simple data pipeline and then expands the pipeline with increasingly complex features, including performance optimization, data governance, security, orchestration, and augmenting your data with generative AI.

After reading this book and completing the included exercises, you will be able to

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