Presto in Practice (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Presto in Practice" "Presto in Practice" is the definitive guide for architects, data engineers, and platform operators seeking to master Presto, the industry-leading distributed SQL query engine powering analytics at scale. This comprehensive volume delves deep into Presto's unique architecture and internals, providing clear explanations of its distributed query engine, node management, connector model, and advanced execution strategies. From managing metadata and ensuring fault tolerance to understanding the intricate mechanics of networking and serialization, readers will gain a thorough u...
"Presto in Practice"
"Presto in Practice" is the definitive guide for architects, data engineers, and platform operators seeking to master Presto, the industry-leading distributed SQL query engine powering analytics at scale. This comprehensive volume delves deep into Presto's unique architecture and internals, providing clear explanations of its distributed query engine, node management, connector model, and advanced execution strategies. From managing metadata and ensuring fault tolerance to understanding the intricate mechanics of networking and serialization, readers will gain a thorough understanding of what sets Presto apart from traditional data processing platforms.
The book offers detailed, actionable insight across the operational lifecycle: from installation and deployment strategies designed for both cloud-native and on-premises environments, to robust performance engineering, troubleshooting, and maintaining high availability in mission-critical deployments. Readers will find expert guidance on optimizing SQL workloads-covering advanced joins, aggregations, user-defined functions, and handling semi-structured data-alongside practical techniques for query planning, cost-based optimization, resource management, and monitoring.
Beyond the technical core, "Presto in Practice" addresses vital topics in security, governance, and compliance, equipping teams to implement robust authentication, access control, encryption, and regulatory controls for modern data pipelines. It also explores integration with the broader data ecosystem, including ETL, BI tools, streaming analytics, and machine learning workflows. With chapters dedicated to scaling Presto for large-scale and multi-tenant deployments, as well as practical guidance for extending and contributing to the vibrant Presto community, this book serves as both a hands-on manual and a strategic reference for harnessing Presto's full potential.
"Presto in Practice" is the definitive guide for architects, data engineers, and platform operators seeking to master Presto, the industry-leading distributed SQL query engine powering analytics at scale. This comprehensive volume delves deep into Presto's unique architecture and internals, providing clear explanations of its distributed query engine, node management, connector model, and advanced execution strategies. From managing metadata and ensuring fault tolerance to understanding the intricate mechanics of networking and serialization, readers will gain a thorough understanding of what sets Presto apart from traditional data processing platforms.
The book offers detailed, actionable insight across the operational lifecycle: from installation and deployment strategies designed for both cloud-native and on-premises environments, to robust performance engineering, troubleshooting, and maintaining high availability in mission-critical deployments. Readers will find expert guidance on optimizing SQL workloads-covering advanced joins, aggregations, user-defined functions, and handling semi-structured data-alongside practical techniques for query planning, cost-based optimization, resource management, and monitoring.
Beyond the technical core, "Presto in Practice" addresses vital topics in security, governance, and compliance, equipping teams to implement robust authentication, access control, encryption, and regulatory controls for modern data pipelines. It also explores integration with the broader data ecosystem, including ETL, BI tools, streaming analytics, and machine learning workflows. With chapters dedicated to scaling Presto for large-scale and multi-tenant deployments, as well as practical guidance for extending and contributing to the vibrant Presto community, this book serves as both a hands-on manual and a strategic reference for harnessing Presto's full potential.
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