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A Blueprint for Safeguarding Data in a Connected World


In an era where data breaches and privacy concerns make headlines, the importance of robust data security and effective governance cannot be overstated. "Mastering Data Security and Governance" serves as your comprehensive guide to understanding and implementing strategies that protect sensitive information while ensuring compliance and accountability in today's interconnected landscape.


About the Book:


In a world where data is a valuable currency, organizations must prioritize data security and governance to build trust with their customers, partners, and stakeholders. "Mastering Data Security and Governance" delves into the critical concepts, practices, and technologies required to establish a resilient data protection framework while maintaining transparency and adhering to regulatory requirements.

Mastering Data security and governance

  • 1.Introduction to Data Security and Governance
    1.1.Understanding the Importance of Data Security and Governance
    1.2.Exploring the Relationship Between Security and Governance
    1.3.Overview of Chapters and Learning Objectives
    2.Fundamentals of Data Security
    2.1.What is Data Security?
    2.2.The CIA Triad: Confidentiality, Integrity, Availability
    2.3.Data Security Threats and Risks
    2.4.Basics of Encryption and Access Control
    3.Data Security Best Practices
    3.1.Access Control Models: RBAC and ABAC
    3.2.Authentication and Authorization Mechanisms
    3.3.Multi-factor Authentication (MFA)
    3.4.Data Classification and Labeling
    4.Data Privacy Regulations and Compliance
    4.1.GDPR: General Data Protection Regulation
    4.2.CCPA: California Consumer Privacy Act
    4.3.HIPAA: Health Insurance Portability and Accountability Act
    4.4.NIST Framework for Privacy Risk Management
    5.Securing Data in Transit and at Rest
    5.1.SSL/TLS Encryption for Data in Transit
    5.2.Encryption Algorithms and Key Management
    5.3.Data Encryption at Rest: Database and File-Level Encryption
    5.4.Securing Cloud Storage
    6.Data Auditing and Monitoring
    6.1.Importance of Data Auditing
    6.2.Implementing Auditing in Databases and Systems
    6.3.Real-time Monitoring and Intrusion Detection
    6.4.Auditing Tools and Technologies
    7.Data Breach Prevention and Incident Response
    7.1.Understanding Data Breaches and Their Impact
    7.2.Creating an Incident Response Plan
    7.3.Detecting and Responding to Data Breaches
    7.4.Post-Breach Analysis and Remediation
    8.Data Governance Fundamentals
    8.1.What is Data Governance?
    8.2.Components of Effective Data Governance
    8.3.Data Stewardship and Ownership
    8.4.Establishing Data Governance Policies
    9.Data Governance Frameworks and Models
    9.1.DAMA-DMBOK: Data Management Body of Knowledge
    9.2.COBIT: Control Objectives for Information and Related Technologies
    9.3.ISO 8000: Data Quality Standards
    9.4.Integrating Governance Frameworks
    10.Data Governance Implementation
    10.1.Developing a Data Governance Strategy
    10.2.Data Governance Roles and Responsibilities
    10.3.Metadata Management and Data Lineage
    10.4.Establishing Data Quality and Standards
    11.Data Governance and Data Architecture
    11.1.Aligning Data Governance with Enterprise Architecture
    11.2.Data Governance in Data Warehousing and BI
    11.3.Master Data Management and Data Governance
    11.4.Governance in Data Lake Environments
    12.Data Governance Tools and Technologies
    12.1.Data Catalogs and Metadata Management Tools
    12.2.Data Quality and Profiling Tools
    12.3.Data Lineage and Impact Analysis Tools
    12.4.Automating Data Governance Workflows
    13.Data Governance and Data Lifecycle Management
    13.1.Data Lifecycle Stages: Creation, Usage, Storage, Archival, Deletion
    13.2.Data Retention and Disposal Policies
    13.3.Legal and Compliance Considerations in Data Lifecycle
    13.4.Balancing Governance with Data Utility
    14.Collaboration and Communication in Data Governance
    14.1.Collaboration Between Business and IT
    14.2.Data Governance Communication Strategies
    14.3.Educating and Training Stakeholders
    14.4.Building a Data Governance Community
    15.Case Studies in Data Security and Governance
    15.1.Securing Sensitive Financial Data
    15.2.Ensuring Healthcare Data Privacy
    15.3.GDPR Compliance for Global E-commerce
    15.4.Government Data Security and Compliance
    16.Future Trends in Data Security and Governance
    16.1.AI and Machine Learning for Data Security
    16.2.Blockchain and Distributed Ledger Technologies
    16.3.Evolving Privacy Regulations and Global Impact
    16.4.Data Governance in the Age of Big Data and IoT
    17.Data Security and Governance for Cloud Environments
    17.1.Cloud Security Models: IaaS, PaaS, SaaS
    17.2.Identity and Access Management in the Cloud
    17.3.Cloud Compliance and Certification
    17.4.Challenges and Strategies for Cloud Security and Governance
    18.Building a Comprehensive Data Security and Governance Strategy
    18.1.Assessing Organizational Needs and Risks
    18.2.Designing a Multi-Layered Security Approach
    18.3.Integrating Data Security and Governance Efforts
    18.4.Continuously Improving the Strategy
    19.1.Mastery of Data Security and Governance
    19.2.Recap of Key Concepts
    19.3.Looking Ahead in the Data Security and Governance Landscape
    About the author

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