Hadoop Security: Protecting Your Big Data Platform (Paperback)

Ben Spivey, Joey Echeverria

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商品描述

As more corporations turn to Hadoop to store and process their most valuable data, the risk of a potential breach of those systems increases exponentially. This practical book not only shows Hadoop administrators and security architects how to protect Hadoop data from unauthorized access, it also shows how to limit the ability of an attacker to corrupt or modify data in the event of a security breach.

Authors Ben Spivey and Joey Echeverria provide in-depth information about the security features available in Hadoop, and organize them according to common computer security concepts. You’ll also get real-world examples that demonstrate how you can apply these concepts to your use cases.

  • Understand the challenges of securing distributed systems, particularly Hadoop
  • Use best practices for preparing Hadoop cluster hardware as securely as possible
  • Get an overview of the Kerberos network authentication protocol
  • Delve into authorization and accounting principles as they apply to Hadoop
  • Learn how to use mechanisms to protect data in a Hadoop cluster, both in transit and at rest
  • Integrate Hadoop data ingest into enterprise-wide security architecture
  • Ensure that security architecture reaches all the way to end-user access

商品描述(中文翻譯)

隨著越來越多的企業選擇使用Hadoop來存儲和處理他們最重要的數據,這些系統面臨潛在遭受侵害的風險也呈指數級增加。這本實用書不僅向Hadoop管理員和安全架構師展示如何保護Hadoop數據免受未經授權的訪問,還展示了在安全漏洞事件中如何限制攻擊者損壞或修改數據的能力。

作者Ben Spivey和Joey Echeverria提供了有關Hadoop安全功能的詳細信息,並根據常見的計算機安全概念對其進行組織。您還將獲得實際示例,演示如何將這些概念應用於您的使用案例。

- 了解保護分散系統(尤其是Hadoop)的挑戰
- 使用最佳實踐盡可能安全地準備Hadoop集群硬件
- 獲取Kerberos網絡身份驗證協議的概述
- 深入研究授權和會計原則在Hadoop中的應用
- 學習如何使用機制保護Hadoop集群中的數據,包括在傳輸和靜態時
- 將Hadoop數據輸入集成到企業級安全架構中
- 確保安全架構達到最終用戶訪問的所有範圍