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Hadoop Security. Protecting Your Big Data Platform - Helion

Hadoop Security. Protecting Your Big Data Platform
ebook
Autor: Ben Spivey, Joey Echeverria
ISBN: 978-14-919-0134-2
stron: 340, Format: ebook
Data wydania: 2015-06-29
Księgarnia: Helion

Cena książki: 152,15 zł (poprzednio: 176,92 zł)
Oszczędzasz: 14% (-24,77 zł)

Dodaj do koszyka Hadoop Security. Protecting Your Big Data Platform

Tagi: Bazy danych | Big Data | Inne

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

Dodaj do koszyka Hadoop Security. Protecting Your Big Data Platform

 

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Dodaj do koszyka Hadoop Security. Protecting Your Big Data Platform

Spis treści

Hadoop Security. Protecting Your Big Data Platform eBook -- spis treści

  • Foreword
  • Preface
    • Audience
    • Conventions Used in This Book
    • Using Code Examples
    • Safari Books Online
    • How to Contact Us
    • Acknowledgments
      • From Joey
      • From Ben
      • From Eddie
    • Disclaimer
  • 1. Introduction
    • Security Overview
      • Confidentiality
      • Integrity
      • Availability
      • Authentication, Authorization, and Accounting
    • Hadoop Security: A Brief History
    • Hadoop Components and Ecosystem
      • Apache HDFS
      • Apache YARN
      • Apache MapReduce
      • Apache Hive
      • Cloudera Impala
      • Apache Sentry (Incubating)
      • Apache HBase
      • Apache Accumulo
      • Apache Solr
      • Apache Oozie
      • Apache ZooKeeper
      • Apache Flume
      • Apache Sqoop
      • Cloudera Hue
    • Summary
  • I. Security Architecture
  • 2. Securing Distributed Systems
    • Threat Categories
      • Unauthorized Access/Masquerade
      • Insider Threat
      • Denial of Service
      • Threats to Data
    • Threat and Risk Assessment
      • User Assessment
      • Environment Assessment
    • Vulnerabilities
    • Defense in Depth
    • Summary
  • 3. System Architecture
    • Operating Environment
    • Network Security
      • Network Segmentation
      • Network Firewalls
        • Data movement
        • Client access
        • Administration traffic
      • Intrusion Detection and Prevention
    • Hadoop Roles and Separation Strategies
      • Master Nodes
      • Worker Nodes
      • Management Nodes
      • Edge Nodes
    • Operating System Security
      • Remote Access Controls
      • Host Firewalls
      • SELinux
    • Summary
  • 4. Kerberos
    • Why Kerberos?
    • Kerberos Overview
    • Kerberos Workflow: A Simple Example
    • Kerberos Trusts
    • MIT Kerberos
      • Server Configuration
      • Client Configuration
    • Summary
  • II. Authentication, Authorization, and Accounting
  • 5. Identity and Authentication
    • Identity
      • Mapping Kerberos Principals to Usernames
        • The initial principal translation
        • The acceptance filter
        • The substitution command
      • Hadoop User to Group Mapping
        • Mapping users to groups using LDAP
      • Provisioning of Hadoop Users
    • Authentication
      • Kerberos
      • Username and Password Authentication
      • Tokens
        • Delegation tokens
        • Block access tokens
        • Job tokens
      • Impersonation
      • Configuration
        • HDFS
        • YARN
        • MapReduce (MR1)
        • Oozie
        • HBase
    • Summary
  • 6. Authorization
    • HDFS Authorization
      • HDFS Extended ACLs
    • Service-Level Authorization
    • MapReduce and YARN Authorization
      • MapReduce (MR1)
      • YARN (MR2)
        • FairScheduler
        • CapacityScheduler
    • ZooKeeper ACLs
    • Oozie Authorization
    • HBase and Accumulo Authorization
      • System, Namespace, and Table-Level Authorization
      • Column- and Cell-Level Authorization
    • Summary
  • 7. Apache Sentry (Incubating)
    • Sentry Concepts
    • The Sentry Service
      • Sentry Service Configuration
    • Hive Authorization
      • Hive Sentry Configuration
    • Impala Authorization
      • Impala Sentry Configuration
    • Solr Authorization
      • Solr Sentry Configuration
    • Sentry Privilege Models
      • SQL Privilege Model
      • Solr Privilege Model
    • Sentry Policy Administration
      • SQL Commands
      • SQL Policy File
      • Solr Policy File
      • Policy File Verification and Validation
      • Migrating From Policy Files
    • Summary
  • 8. Accounting
    • HDFS Audit Logs
    • MapReduce Audit Logs
    • YARN Audit Logs
    • Hive Audit Logs
    • Cloudera Impala Audit Logs
    • HBase Audit Logs
    • Accumulo Audit Logs
    • Sentry Audit Logs
    • Log Aggregation
    • Summary
  • III. Data Security
  • 9. Data Protection
    • Encryption Algorithms
    • Encrypting Data at Rest
      • Encryption and Key Management
      • HDFS Data-at-Rest Encryption
        • Configuration
        • KMS authorization
        • Client operations
      • MapReduce2 Intermediate Data Encryption
      • Impala Disk Spill Encryption
      • Full Disk Encryption
      • Filesystem Encryption
      • Important Data Security Consideration for Hadoop
    • Encrypting Data in Transit
      • Transport Layer Security
        • Generating a new certificate
        • SSL/TLS handshake
      • Hadoop Data-in-Transit Encryption
        • Hadoop RPC Encryption
        • HDFS data transfer protocol encryption
        • Hadoop HTTP encryption
        • Encrypted shuffle and encrypted web UI
    • Data Destruction and Deletion
    • Summary
  • 10. Securing Data Ingest
    • Integrity of Ingested Data
    • Data Ingest Confidentiality
      • Flume Encryption
      • Sqoop Encryption
    • Ingest Workflows
    • Enterprise Architecture
    • Summary
  • 11. Data Extraction and Client Access Security
    • Hadoop Command-Line Interface
    • Securing Applications
    • HBase
      • HBase Shell
      • HBase REST Gateway
      • HBase Thrift Gateway
    • Accumulo
      • Accumulo Shell
      • Accumulo Proxy Server
    • Oozie
    • Sqoop
    • SQL Access
      • Impala
        • Using Impala with Kerberos authentication
        • Using Impala with LDAP/Active Directory authentication
        • Using SSL wire encryption with Impala
      • Hive
        • Using HiveServer2 with Kerberos authentication
        • Using HiveServer2 with LDAP/Active Directory authentication
        • Using HiveServer2 with pluggable authentication
        • HiveServer2 over-the-wire encryption
    • WebHDFS/HttpFS
    • Summary
  • 12. Cloudera Hue
    • Hue HTTPS
    • Hue Authentication
      • SPNEGO Backend
      • SAML Backend
      • LDAP Backend
    • Hue Authorization
    • Hue SSL Client Configurations
    • Summary
  • IV. Putting It All Together
  • 13. Case Studies
    • Case Study: Hadoop Data Warehouse
      • Environment Setup
      • User Experience
      • Summary
    • Case Study: Interactive HBase Web Application
      • Design and Architecture
      • Security Requirements
      • Cluster Configuration
      • Implementation Notes
      • Summary
  • Afterword
    • Unified Authorization
    • Data Governance
    • Native Data Protection
    • Final Thoughts
  • Index

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