Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at Web Scale (Paperback)
暫譯: Cassandra：權威指南（修訂版）第三版：網路規模的分散式資料
Carpenter, Jeff, Hewitt, Eben
買這商品的人也買了...
-
Specification by Example 中文版：團隊如何交付正確的軟體 (Specification by Example: How Successful Teams Deliver the Right Software)$420$357 -
The Hundred-Page Machine Learning Book (paperback)$1,520$1,490 -
NumPy 高速運算徹底解說 - 六行寫一隻程式？你真懂深度學習？手工算給你看！$750$638 -
TinyML｜TensorFlow Lite 機器學習 : 應用 Arduino 與低耗電微控制器 (Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers)$880$695 -
$1,935Fighting Churn with Data: The Science and Strategy of Customer Retention (Paperback) -
數據庫程序員面試筆試通關寶典$419$398 -
大規模重構｜奪回源碼庫的控制權 (Refactoring at Scale: Regaining Control of Your Codebase)$580$458 -
行銷 5.0：科技與人性完美融合時代的全方位戰略，運用 MarTech，設計顧客旅程，開啟數位消費新商機$450$383 -
GA 到 GA4: 掌握網站數據分析新工具的技術原理與商業思維(書況差限門市銷售)$500$350 -
Building Data-Driven Applications with Danfo.js: A practical guide to data analysis and machine learning using JavaScript$1,880$1,786 -
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, 2/e (Paperback)$2,565$2,430 -
Notion 人生管理術：從0開始，打造專屬自己的 All in One 高效數位系統$330$281 -
ACCELERATE：精益軟體與 DevOps 背後的科學 (Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations)$499$394 -
Introduction to Algorithms, 4/e (Hardcover)$2,190$2,146 -
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)$2,360$2,242 -
Keras 大神歸位：深度學習全面進化！用 Python 實作 CNN、RNN、GRU、LSTM、GAN、VAE、Transformer$1,200$948 -
億萬社長高獲利經營術：電商老闆賣愈少、賺愈多，還能活過零營收的祕密$380$323 -
發黑的香蕉怎麼賣？：從「不需要」變「好想要」！看見、讀完立刻買單的文字技巧$460$391 -
Aws Certified Solutions Architect Study Guide with Online Labs: Associate Saa-C03 Exam$4,760$4,522 -
ClickHouse 性能之巔從架構設計解讀性能之謎$534$507 -
領域驅動設計學習手冊 (Learning Domain-Driven Design)$580$458 -
Notion 最強效應用：卡片盒筆記法 × GTD 時間管理 × 電子手帳 × 數位履歷 × Notion AI$499$394 -
Communication Patterns: A Guide for Developers and Architects (Paperback)$2,052$1,944 -
Notion 全方位管理術：任務管理 × 收支記帳 × 知識筆記 × ChatGPT × Notion AI（iThome鐵人賽系列書）【軟精裝】$650$507 -
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas, 2/e (Paperback)$2,030$1,929
相關主題
商品描述
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition--updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra--provides technical details and practical examples to help you put this database to work in a production environment.
Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra's speed and flexibility.
- Understand Cassandra's distributed and decentralized structure
- Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell)
- Create a working data model and compare it with an equivalent relational model
- Design and develop applications using client drivers
- Explore cluster topology and learn how nodes exchange data
- Maintain a high level of performance in your cluster
- Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes
- Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
商品描述(中文翻譯)
想像一下，如果可擴展性不是問題，你能做什麼。這本實用指南將教你如何使用 Cassandra 數據庫管理系統處理數百 TB 的數據，同時在多個數據中心保持高可用性。這本修訂版第三版已更新至 Cassandra 4.0，並涵蓋了 Cassandra 生態系統中的新發展，包括在 Kubernetes 上的部署（使用 K8ssandra），提供技術細節和實用範例，幫助你在生產環境中運用這個數據庫。
作者 Jeff Carpenter 和 Eben Hewitt 展示了 Cassandra 非關聯設計的優勢，特別關注數據建模。尋求解決數據庫擴展問題或未來證明應用程序的開發人員、數據庫管理員和應用架構師將學會如何利用 Cassandra 的速度和靈活性。
- 了解 Cassandra 的分散式和去中心化結構
- 使用 Cassandra 查詢語言 (CQL) 和 cqlsh（CQL 命令行介面）
- 創建一個可用的數據模型並與相應的關聯模型進行比較
- 使用客戶端驅動程序設計和開發應用程序
- 探索集群拓撲並了解節點如何交換數據
- 在你的集群中維持高性能
- 在本地、雲端或使用 Docker 和 Kubernetes 部署 Cassandra
- 將 Cassandra 與 Spark、Kafka、Elasticsearch、Solr 和 Lucene 整合
作者簡介
Jeff Carpenter works in Developer Relations at DataStax, where he uses his background in system architecture, microservices and Apache Cassandra to help empower developers and operations engineers to build distributed systems that are scalable, reliable, and secure. Jeff has worked on large-scale systems in the defense and hospitality industries and is co-author of Cassandra: The Definitive Guide.
Eben Hewitt is the CTO and Chief Architect at Sabre Hospitality where he is responsible for the technology strategy and for designing large-scale, mission-critical systems and leading teams to build them. He has served as CTO at one of the world's largest hotel companies and CIO of O'Reilly Media. He has been a consultant to Warburg Pincus and others on distributed data and a frequent speaker at international conferences. He is the author of several books, including Technology Strategy Patterns (2018), Cassandra: The Definitive Guide, Java SOA Cookbook, and several other books on architecture, web and software development, including Semantic Software Design (2019). He's won several innovation awards for his software design work.
作者簡介(中文翻譯)
Jeff Carpenter 在 DataStax 的開發者關係部門工作，他利用自己在系統架構、微服務和 Apache Cassandra 的背景，幫助開發者和運營工程師構建可擴展、可靠且安全的分佈式系統。Jeff 曾在國防和酒店行業的規模龐大的系統上工作，並且是《Cassandra: The Definitive Guide》的共同作者。
Eben Hewitt 是 Sabre Hospitality 的首席技術官和首席架構師，負責技術策略的制定以及設計大型、關鍵任務系統，並領導團隊進行建設。他曾擔任全球最大的酒店公司之一的首席技術官，以及 O'Reilly Media 的首席資訊官。他曾擔任 Warburg Pincus 等公司的顧問，專注於分佈式數據，並且是國際會議的常客演講者。他著有多本書籍，包括《Technology Strategy Patterns》（2018）、《Cassandra: The Definitive Guide》、《Java SOA Cookbook》，以及其他幾本關於架構、網頁和軟體開發的書籍，包括《Semantic Software Design》（2019）。他因其軟體設計工作獲得了多項創新獎。
