Sinopsis
How can you navigate the complex trade-offs between speed, memory consumption, and disk I/O when handling terabyte-scale data and thousands of concurrent users? This book dives deep into the core of Apache Solr and Lucene, offering answers from a system engineer's perspective. It explores the architectural decisions, data structures, and algorithms that enable these world-class search platforms to deliver exceptional performance and scalability, providing a blueprint for designing high-performance systems.
The insights in this book extend beyond the Solr and Lucene ecosystem. By using these platforms as a masterclass in pragmatic engineering, it offers valuable lessons for building any complex, data-intensive application. Their open-source codebases are a treasure trove of battle-tested solutions to universal challenges in concurrency, data partitioning, and distributed coordination. This book provides a curated tour of that treasure, distilling years of development and thousands of lines of code into core principles and patterns. It offers a unique opportunity to learn from the architectural choices of systems designed for immense scale and load, delivering invaluable lessons for system architects and engineers tasked with building resilient, high-performance software.
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Paperback. Condición: new. Paperback. How can you navigate the complex trade-offs between speed, memory consumption, and disk I/O when handling terabyte-scale data and thousands of concurrent users? This book dives deep into the core of Apache Solr and Lucene, offering answers from a system engineer's perspective. It explores the architectural decisions, data structures, and algorithms that enable these world-class search platforms to deliver exceptional performance and scalability, providing a blueprint for designing high-performance systems.The insights in this book extend beyond the Solr and Lucene ecosystem. By using these platforms as a masterclass in pragmatic engineering, it offers valuable lessons for building any complex, data-intensive application. Their open-source codebases are a treasure trove of battle-tested solutions to universal challenges in concurrency, data partitioning, and distributed coordination. This book provides a curated tour of that treasure, distilling years of development and thousands of lines of code into core principles and patterns. It offers a unique opportunity to learn from the architectural choices of systems designed for immense scale and load, delivering invaluable lessons for system architects and engineers tasked with building resilient, high-performance software. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798349610080
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Paperback. Condición: new. Paperback. How can you navigate the complex trade-offs between speed, memory consumption, and disk I/O when handling terabyte-scale data and thousands of concurrent users? This book dives deep into the core of Apache Solr and Lucene, offering answers from a system engineer's perspective. It explores the architectural decisions, data structures, and algorithms that enable these world-class search platforms to deliver exceptional performance and scalability, providing a blueprint for designing high-performance systems.The insights in this book extend beyond the Solr and Lucene ecosystem. By using these platforms as a masterclass in pragmatic engineering, it offers valuable lessons for building any complex, data-intensive application. Their open-source codebases are a treasure trove of battle-tested solutions to universal challenges in concurrency, data partitioning, and distributed coordination. This book provides a curated tour of that treasure, distilling years of development and thousands of lines of code into core principles and patterns. It offers a unique opportunity to learn from the architectural choices of systems designed for immense scale and load, delivering invaluable lessons for system architects and engineers tasked with building resilient, high-performance software. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798349610080
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Paperback. Condición: new. Paperback. How can you navigate the complex trade-offs between speed, memory consumption, and disk I/O when handling terabyte-scale data and thousands of concurrent users? This book dives deep into the core of Apache Solr and Lucene, offering answers from a system engineer's perspective. It explores the architectural decisions, data structures, and algorithms that enable these world-class search platforms to deliver exceptional performance and scalability, providing a blueprint for designing high-performance systems.The insights in this book extend beyond the Solr and Lucene ecosystem. By using these platforms as a masterclass in pragmatic engineering, it offers valuable lessons for building any complex, data-intensive application. Their open-source codebases are a treasure trove of battle-tested solutions to universal challenges in concurrency, data partitioning, and distributed coordination. This book provides a curated tour of that treasure, distilling years of development and thousands of lines of code into core principles and patterns. It offers a unique opportunity to learn from the architectural choices of systems designed for immense scale and load, delivering invaluable lessons for system architects and engineers tasked with building resilient, high-performance software. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798349610080
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Inside Apache Solr and Lucene
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Taschenbuch. Condición: Neu. Inside Apache Solr and Lucene | Rauf Aliev | Taschenbuch | Englisch | 2025 | TestMySearch Press | EAN 9798349610080 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134109975
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