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This book presents a comprehensive collection of data engineering patterns, each illustrated with relevant enterprise use cases to highlight their value and simplicity. It showcases both open-source and cloud technologies, guiding readers in building data systems for on-premise and cloud environments. The book covers patterns for data ingestion, transformation, storage, and serving, while also offering insights into performance engineering for data pipelines. Once we understand fundamental data engineering patterns, we then shift focus to patterns that help us build high-performance low latency data systems. We cover data caching, partitioning, replication, and how to select the technology stack for building out the patterns in this book.
Author Biography
Amit Kulkarni has 14+ years of experience working in distributed systems, databases, and cloud storage systems. As a senior manager working in Couchbase India, he has gained expertise in building and managing large-scale, performant, and fault-tolerant systems.
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