Hadoop.Security.Protecting.Your.Big.Data.Platform.1491900989

【文件属性】：
文件名称：Hadoop.Security.Protecting.Your.Big.Data.Platform.1491900989
文件大小：3.77MB
文件格式：PDF
更新时间：2018-08-03 10:31:04
Hadoop Security 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 Table of Contents Chapter 1. Introduction Part I. Security Architecture Chapter 2. Securing Distributed Systems Chapter 3. System Architecture Chapter 4. Kerberos Part II. Authentication, Authorization, and Accounting Chapter 5. Identity and Authentication Chapter 6. Authorization Chapter 7. Apache Sentry Chapter 8. Accounting Part III. Data Security Chapter 9. Data Protection Chapter 10. Securing Data Ingest Chapter 11. Data Extraction and Client Access Security Chapter 12. Cloudera Hue Part IV. Putting It All Together Chapter 13. Case Studies