Data Engineering Design Patterns by Amit Kulkarni (.ePUB)

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File Size: 10 MB

Data Engineering Design Patterns: Scalable data engineering for efficient data workflows, ingestion, and transformation by Amit Kulkarni, Santosh Hegde
Requirements: .ePUB reader, 10 MB
Overview: Data engineering has gained even more relevance than before, and data engineering patterns are key to the successful implementation of data engineering projects. This book enables a data engineer to not only become familiar with data engineering patterns but also understand their application in real world use cases. This book presents a comprehensive collection of data engineering patterns, each illustrated with relevant enterprise use cases to highlight their value and simplicity. This book is designed for data engineers with beginner to intermediate experience in building enterprise-grade data systems. It assumes familiarity with distributed systems and key technologies like databases, Kafka, Spark, and Hadoop. ETL developers transitioning into data engineering roles will also find this book valuable for understanding essential data engineering patterns. The code snippets provided throughout the book are written in Python or Scala, so a basic understanding of either language will help readers more easily grasp the concepts presented.
Genre: Non-Fiction > Tech & Devices

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