Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts (實作DevOps:探索持續交付的概念並與數據科學整合)
Sricharan Vadapalli
- 出版商: Packt Publishing
- 出版日期: 2017-12-22
- 定價: $1,480
- 售價: 6.0 折 $888
- 語言: 英文
- 頁數: 424
- 裝訂: Paperback
- ISBN: 1788471180
- ISBN-13: 9781788471183
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相關分類:
CI/CD、DevOps、Data Science
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商品描述
Transform yourself into a specialist in DevOps adoption for Big Data on cloud
Key Features
- Learn the concepts of Bigdata and Devops and Implement them
- Get Acquainted with DevOps Frameworks Methodologies and Tools
- A practical approach to build and work efficiently with your big data cluster
- Get introduced to multiple flavors of tools and platforms from vendors on Hadoop, Cloud, Containers and IoT Offerings
- In-Depth Technology understanding on Data Sciences, Microservices, Bigdata
Book Description
DevOps strategies have really become an important factor for big data environments.
This book initially provides an introduction to big data, DevOps, and Cloud computing along with the need for DevOps strategies in big data environments. We move on to explore the adoption of DevOps frameworks and business scenarios. We then build a big data cluster, deploy it on the cloud, and explore DevOps activities such as CI/CD and containerization. Next, we cover big data concepts such as ETL for data sources, Hadoop clusters, and their applications. Towards the end of the book, we explore ERP applications useful for migrating to DevOps frameworks and examine a few case studies for migrating big data and prediction models.
By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters.
What you will learn
- Learn about the DevOps culture, its frameworks, maturity, and design patterns
- Get acquainted with multiple niche technologies microservices, containers, kubernetes, IoT, and cloud
- Build big data clusters, enterprise applications and data science models
- Apply DevOps concepts for continuous integration, delivery, deployment and monitoring
- Get introduced to Open source tools, service offerings from multiple vendors
- Start digital journey to apply DevOps concepts to migrate big data, cloud, microservices, IoT, security, ERP systems
Who This Book Is For
If you are a Big Data Architects, solutions provider, or any stakeholder working in big data environment and wants to implement the strategy of DevOps, then this book is for you.
Table of Contents
- Introduction to DevOps
- Introduction to Big Data and Data Sciences
- DevOps Framework
- Big Data Hadoop Ecosystems
- Cloud Computing
- Building Big Data Applications
- DevOps - Continuous Integration and Delivery
- DevOps Continuous Deployment
- Containers, IoT, and Microservices
- DevOps for Digital Transformation
- Appendix A: DevOps Adoption by ERP Systems
- Appendix B: DevOps Periodic Table
- Appendix C: Business Intelligence Trends
- Appendix D: Testing Types and Levels
- Appendix E: Java Platform Standard Edition 8
商品描述(中文翻譯)
將以上文字翻譯成繁體中文如下:
「
將自己轉變為雲端大數據DevOps採用的專家
主要特點
- 學習大數據和DevOps的概念並實踐
- 熟悉DevOps框架、方法論和工具
- 實用方法建立並高效運作大數據集群
- 介紹多種供應商在Hadoop、雲端、容器和物聯網領域的工具和平台
- 深入了解數據科學、微服務和大數據的技術
書籍描述
DevOps策略對於大數據環境來說已經成為一個重要因素。
本書首先介紹了大數據、DevOps和雲端運算,以及在大數據環境中需要DevOps策略的原因。我們繼續探索DevOps框架的採用和業務場景。然後,我們建立一個大數據集群,將其部署在雲端上,並探索CI/CD和容器化等DevOps活動。接下來,我們涵蓋了數據源的ETL、Hadoop集群及其應用等大數據概念。在本書的最後,我們探索了對於遷移大數據和預測模型有用的ERP應用程式。
通過閱讀本書,您將掌握在大數據集群中實施DevOps工具和策略的技能。
你將學到什麼
- 了解DevOps文化、框架、成熟度和設計模式
- 熟悉多種專業技術,如微服務、容器、Kubernetes、物聯網和雲端
- 建立大數據集群、企業應用程式和數據科學模型
- 應用DevOps概念進行持續整合、交付、部署和監控
- 介紹多個供應商的開源工具和服務
- 開始數位化之旅,將DevOps概念應用於大數據、雲端、微服務、物聯網、安全和ERP系統的遷移
適合閱讀對象
如果您是大數據架構師、解決方案提供商或在大數據環境中工作並希望實施DevOps策略的相關人員,那麼本書適合您。
目錄
- DevOps簡介
- 大數據和數據科學簡介
- DevOps框架
- 大數據Hadoop生態系統
- 雲端運算
- 建立大數據應用程式
- DevOps - 持續整合和交付
- DevOps持續部署
- 容器、物聯網和微服務
- DevOps用於數位轉型
- 附錄A:ERP系統的DevOps採用
- 附錄B:DevOps週期表
- 附錄C:商業智能趨勢
- 附錄D:測試類型和層級
- 附錄E:Java平台標準版8