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Data Engineering Best Practices


30,000

This book follows the journey of data from source to insight. It defines the data engineering role, presents reference architectures, and explains how to model, secure, and govern data for analytics. Subsequent chapters cover CI/CD, ETL versus ELT, infrastructure operations, data quality, operations, AI, and supporting processes.

Author: Luiz Fernando F Dos SantosChandan Ramanna 

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