Data Protection and Information Lifecycle Management 1st Edition by Tom Petrocelli – Ebook PDF Instant Download/Delivery. 0131927574, 9780131927575
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Product details:
ISBN 10: 0131927574
ISBN 13: 9780131927575
Author: Tom Petrocelli
This book introduces Information Lifecycle Management (ILM), a powerful new strategy for managing enterprise information based on its value over time. The author explains emerging techniques for protecting storage systems and storage networks, and for integrating storage security into your overall security plan. He also presents new technical advances and opportunities to improve existing data-protection processes, including backup/restore, replication, and remote copy.
Data Protection and Information Lifecycle Management 1st Table of contents:
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Introduction to Data Protection and Information Lifecycle Management
- What is Data Protection?
- The Importance of Information Lifecycle Management (ILM)
- Key Concepts: Data Retention, Archiving, and Backup
- The Role of Compliance in Data Protection
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The Data Protection Landscape
- Key Data Protection Regulations (e.g., GDPR, HIPAA, CCPA)
- Understanding Data Sensitivity and Classification
- Data Security Threats: Cybersecurity Risks and Vulnerabilities
- The Costs of Data Loss and Breaches
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Data Lifecycle Overview
- Stages of the Information Lifecycle
- The Impact of Data Volume and Growth
- Managing Structured vs. Unstructured Data
- Integrating Data Protection in the Lifecycle
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Data Creation and Capture
- Data Sources and Collection Methods
- Data Integrity and Quality Management
- Protecting Data at the Point of Creation
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Data Storage and Backup
- Storage Solutions: On-Premises vs. Cloud
- Data Encryption and Redundancy in Storage
- Data Backup Strategies: Full, Incremental, and Differential Backups
- The Role of Data Replication and Disaster Recovery
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Data Archiving and Retention
- Archiving Strategies for Long-Term Storage
- Defining Retention Periods and Retention Policies
- Managing Legal and Compliance Requirements in Archiving
- Cost-Effective Archiving Solutions
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Data Security and Encryption
- Methods of Data Encryption at Rest and in Transit
- Implementing Access Controls and Authentication
- Role of Firewalls, VPNs, and IDS/IPS in Data Protection
- Security in Cloud Storage and Virtual Environments
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Data Access and Usage
- Protecting Data During Access and Use
- Data Usage Policies and User Permissions
- Monitoring and Auditing Data Access
- Implementing Data Loss Prevention (DLP) Systems
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Data Destruction and Disposal
- Proper Methods of Data Deletion
- Secure Erasure and Data Wiping Techniques
- Legal and Regulatory Requirements for Data Disposal
- Auditing and Verifying Secure Data Destruction
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Compliance and Legal Issues in Data Protection
- Understanding Legal Frameworks for Data Protection
- Data Privacy Laws and Their Impact on ILM
- The Role of Audits and Compliance Checks
- International Data Transfers and Compliance Challenges
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Data Protection Technologies and Tools
- Overview of Data Protection Software and Solutions
- Backup and Recovery Tools
- Data Encryption Tools and Techniques
- Information Lifecycle Management (ILM) Software
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Business Continuity and Disaster Recovery
- Aligning Data Protection with Business Continuity Planning
- Implementing Disaster Recovery Plans for Data
- Testing and Validating Recovery Procedures
- Ensuring Availability of Critical Business Data
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Risk Management in Data Protection
- Identifying and Assessing Data Protection Risks
- Developing a Risk Mitigation Plan for Data Security
- Incident Response and Crisis Management in Data Breaches
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Future Trends in Data Protection and Information Lifecycle Management
- Impact of Artificial Intelligence and Automation on Data Protection
- Emerging Technologies in Data Security: Blockchain, Quantum Computing
- Evolving Regulatory Landscapes and Compliance Challenges
- The Future of Cloud Storage and Distributed Data Management
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Case Studies in Data Protection and Information Lifecycle Management
- Real-World Examples of Data Protection Implementations
- Lessons Learned from Data Breaches and Failures
- Successful Strategies in Managing Data Lifecycles
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