Streaming Data: Understanding the real-time pipeline
Andrew Psaltis
- 出版商: Manning
- 出版日期: 2017-07-11
- 售價: $1,650
- 貴賓價: 9.5 折 $1,568
- 語言: 英文
- 頁數: 216
- 裝訂: Paperback
- ISBN: 1617292281
- ISBN-13: 9781617292286
-
相關分類:
Data Science
立即出貨 (庫存=1)
買這商品的人也買了...
-
大話設計模式$620$490 -
NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (Paperback)$1,685$1,601 -
HBase 技術手冊 (HBase: The Definitive Guide)$880$695 -
完整學會 Git, GitHub, Git Server 的24堂課$360$284 -
$850Kotlin in Action (Paperback) -
$990Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (Paperback) -
$658深入理解並行編程 (Is parallel programming hard, and, if so, what can you do about it?) -
微軟 S2D 軟體定義儲存技術實戰$560$437 -
Clean Architecture: A Craftsman's Guide to Software Structure and Design (Paperback)$1,850$1,758 -
$855Mastering Ruby Closures: A Guide to Blocks, Procs, and Lambdas -
演算法之美：隱藏在資料結構背後的原理 (C++版)$650$507 -
網站可靠性工程｜Google 的系統管理之道 (Site Reliability Engineering: How Google Runs Production Systems)(SRE)$780$616 -
無瑕的程式碼－整潔的軟體設計與架構篇 (Clean Architecture: A Craftsman's Guide to Software Structure and Design)$580$452 -
Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing$2,660$2,520 -
Microservices Patterns: With examples in Java (Paperback)$1,840$1,748 -
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications$2,565$2,430 -
Working Effectively with Legacy Code : 管理、修改、重構遺留程式碼的藝術 (中文版)$720$562 -
機器學習的數學基礎 : AI、深度學習打底必讀$580$458 -
Web 開發者一定要懂的駭客攻防術 (Web Security for Developers: Real Threats, Practical Defense)$420$332 -
CQRS 命令查詢職責分離模式 (Command Query Responsibility Segregation)$500$390 -
設計重構：25個管理技術債的技巧消除軟體設計臭味 (Refactoring for Software Design Smells: Managing Technical Debt)$520$406 -
資料科學的統計實務 : 探索資料本質、扎實解讀數據，才是機器學習成功建模的第一步$599$473 -
Martin Fowler 的企業級軟體架構模式：軟體重構教父傳授 51個模式，活用設計思考與架構決策 (Patterns of Enterprise Application Architecture)$800$624 -
演算法生存指南$800$632 -
OAuth 2.0 從入門到實戰：利用驗證和授權守護 API 的安全$600$468
相關主題
商品描述
Many of the technologies discussed in the book - Spark, Storm, Kafka, Impala, RabbitMQ, etc. - are covered individually in other books. Throughout this book, readers will get a clear picture of how these technologies work individually and together, gain insight on how to choose the correct technologies, and discover how to fuse them together to architect a robust system.
Streaming Data introduces the concepts and requirements of streaming and real-time data systems. Readers will develop a foundation to understand the challenges and solutions of building in-the-moment data systems before committing to specific technologies. Using lots of diagrams, this book systematically builds up the blueprint for an in-the-moment system concept by concept. This book focuses on the big ideas of streaming and real time data systems rather than the implementation details.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
商品描述(中文翻譯)
許多在本書中討論的技術 - Spark、Storm、Kafka、Impala、RabbitMQ 等等 - 在其他書籍中都有單獨介紹。在本書中，讀者將清楚了解這些技術的個別和整合運作方式，獲得如何選擇正確技術的洞察力，並發現如何將它們結合起來設計一個強大的系統。
《流式數據》介紹了流式和實時數據系統的概念和要求。讀者將建立一個基礎，了解即時數據系統的挑戰和解決方案，然後再選擇具體的技術。本書使用大量的圖表，系統地逐個概念建立了一個即時系統的藍圖。本書聚焦於流式和實時數據系統的大思想，而非實現細節。
購買印刷版書籍將包含 Manning Publications 提供的 PDF、Kindle 和 ePub 格式的免費電子書。
