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Comprehensive Guide to Data Management: Insights from DAMA-DMBOK

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The DAMA-DMBOK provides comprehensive guidelines and solutions for data management challenges. It covers widely accepted practices, methods, roles, and metrics in data management, offering valuable insights for data management professionals, IT specialists, and researchers.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive coverage of data management principles and practices
    • 2
      Detailed exploration of ethical considerations in data handling
    • 3
      In-depth analysis of data architecture and modeling techniques

  • • unique insights

    • 1
      Innovative frameworks for aligning data management with business strategies
    • 2
      Ethical guidelines for data privacy and governance

  • • practical applications

    • The publication serves as a vital resource for enhancing the management of information assets and corporate data, applicable across various industries.

  • • key topics

    • 1
      Data Management Principles
    • 2
      Ethics in Data Handling
    • 3
      Data Architecture and Modeling

  • • key insights

    • 1
      Provides a holistic view of data management frameworks
    • 2
      Integrates ethical considerations into data governance
    • 3
      Offers practical solutions for real-world data management challenges

  • • learning outcomes

    • 1
      Understand core principles of data management
    • 2
      Apply ethical considerations in data governance
    • 3
      Implement best practices for data architecture and modeling
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fundamentals
advanced content
practical tips
best practices

“ Introduction to DAMA-DMBOK

The DAMA-DMBOK is a foundational text in the field of data management, detailing essential principles and practices. It aims to equip professionals with the knowledge necessary to navigate the complexities of data governance and management.

“ Core Principles of Data Management

This section explores the fundamental concepts of data management, including the definition of data as an organizational asset, the importance of data quality, and the principles that guide effective data governance.

“ Data Governance Frameworks

DAMA-DMBOK outlines various frameworks for data governance, including strategic alignment models and the DAMA framework itself. These frameworks help organizations establish a structured approach to managing data.

“ Ethics in Data Handling

Ethical considerations in data management are crucial. This section discusses ethical principles related to data privacy, the implications of data misuse, and the importance of fostering a culture of ethical data handling.

“ Best Practices for Data Management

Best practices are essential for effective data management. This section provides insights into successful strategies, including data lifecycle management, data stewardship, and the implementation of data governance policies.

“ Tools and Techniques for Data Management

An overview of the tools and techniques available for data management, including data modeling tools, data profiling applications, and metadata repositories, is provided in this section.

“ Future Trends in Data Management

This section looks ahead at emerging trends in data management, such as the increasing importance of data analytics, machine learning, and the evolving landscape of data privacy regulations.

 Original link: https://datafinder.ru/files/books/mar2021/Dataops/DAMA_DMBOK_%D0%A1%D0%B2%D0%BE%D0%B4_%D0%B7%D0%BD%D0%B0%D0%BD%D0%B8%D0%B9_%D0%BF%D0%BE_%D1%83%D0%BF%D1%80%D0%B0%D0%B2%D0%BB%D0%B5%D0%BD%D0%B8%D1%8E_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D0%BC%D0%B8_%D0%92%D1%82%D0%BE%D1%80%D0%BE%D0%B5_%D0%B8%D0%B7%D0%B4%D0%B0%D0%BD%D0%B8%D0%B5_2020.pdf

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