With the dominance of AWS, GCP, and Azure, the book explores cloud-native data architectures as standard. Engineers must understand managed services (e.g., BigQuery, Redshift), orchestration (Airflow, Dagster), and IaC (Terraform, Pulumi). It's not enough to know SQL or Python — modern DEs must write infrastructure code, understand cost optimization, and secure data systems at scale. The book also warns against cloud overengineering: choose simplicity over abstraction. Strong fundamentals in storage, networking, and compute are still key — even in serverless environments.
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This book is a modern manifesto for data engineers. It teaches how to build scalable, reliable, and modular data systems in the cloud era — going beyond ETL to embrace data as a product, observability, and the principles of resilient architecture.
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