Data Engineering Best Practices: Architecture tools and techniques for the data analytics lifecycle (English Edition) - Paperback
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Defines the core responsibilities of modern data engineers for clear role clarity
Provides practical reference architectures to support scalable data platforms
Models data for performance, clarity, and governance to ensure quality insights
Explores CI/CD, ETL vs. ELT, and data quality operations for reliable pipelines
Integrates AI and data operations to future-proof data solutions
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Report copyright infringement by Chandan Ramanna (Author), Luiz Fernando F. Dos Santos (Author)
Data engineering is the backbone of modern business intelligence, yet navigating the complexities of roles and tools can be challenging for new and experienced professionals alike. However, data engineering sits at the core of modern analytics. A