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"Amazon Athena Query Design and Optimization"
Unlock the full potential of serverless analytics in the cloud with "Amazon Athena Query Design and Optimization." This comprehensive guide delves into Amazon Athena's unique architecture, detailing how its serverless model-built on Presto-redefines scalable, cost-effective data warehousing. By thoroughly examining Athena's integration with AWS S3 and Glue Data Catalog, the book equips data professionals with foundational understandings of data formats, metadata management, and advanced security mechanisms. Readers gain an insider's perspective on query planning, optimization, and execution, all grounded in real-world enterprise scenarios and best practices.
Structured to support both data engineers and analysts, the book covers a full spectrum of data engineering topics, from partitioning and schema design strategies in modern data lakes to efficient ETL pipelines, data cleaning, and real-time ingestion. Advanced chapters explore the nuances of Athena SQL, including window functions, join optimizations, complex data type handling, and user-defined functions. Cost and performance optimization are central themes, empowering readers to minimize data scans, leverage caching and materialized views, and manage resource contention to achieve robust, low-latency analytics at scale.
With a forward-looking exploration of security, governance, and the future of serverless analytics, this book provides actionable insights for deploying Athena in regulated and multi-cloud environments. Rich with technical deep dives on compliance, auditability, monitoring, and troubleshooting, "Amazon Athena Query Design and Optimization" is an indispensable resource for architects, engineers, and cloud data enthusiasts committed to mastering analytical workloads on AWS.
Unlock the full potential of serverless analytics in the cloud with "Amazon Athena Query Design and Optimization." This comprehensive guide delves into Amazon Athena's unique architecture, detailing how its serverless model-built on Presto-redefines scalable, cost-effective data warehousing. By thoroughly examining Athena's integration with AWS S3 and Glue Data Catalog, the book equips data professionals with foundational understandings of data formats, metadata management, and advanced security mechanisms. Readers gain an insider's perspective on query planning, optimization, and execution, all grounded in real-world enterprise scenarios and best practices.
Structured to support both data engineers and analysts, the book covers a full spectrum of data engineering topics, from partitioning and schema design strategies in modern data lakes to efficient ETL pipelines, data cleaning, and real-time ingestion. Advanced chapters explore the nuances of Athena SQL, including window functions, join optimizations, complex data type handling, and user-defined functions. Cost and performance optimization are central themes, empowering readers to minimize data scans, leverage caching and materialized views, and manage resource contention to achieve robust, low-latency analytics at scale.
With a forward-looking exploration of security, governance, and the future of serverless analytics, this book provides actionable insights for deploying Athena in regulated and multi-cloud environments. Rich with technical deep dives on compliance, auditability, monitoring, and troubleshooting, "Amazon Athena Query Design and Optimization" is an indispensable resource for architects, engineers, and cloud data enthusiasts committed to mastering analytical workloads on AWS.
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