PD ISO/IEC TR 19583-21:2025: Information Technology - Concepts and Usage of Metadata 11179-3, -31, -32 Data Model in SQL

Welcome to the future of information technology standards with the PD ISO/IEC TR 19583-21:2025. This comprehensive standard is a must-have for professionals and organizations looking to stay ahead in the rapidly evolving field of information technology. Released on March 11, 2025, this document is a pivotal resource for understanding the concepts and usage of metadata within the 11179-3, -31, -32 data model in SQL.

Key Features

• Standard Number: PD ISO/IEC TR 19583-21:2025
• Pages: 54
• Release Date: March 11, 2025
• ISBN: 978 0 539 35058 6
• Status: Standard

Overview

This standard provides a detailed exploration of the concepts and usage of metadata as defined in the 11179-3, -31, -32 data model, specifically within the context of SQL. It is designed to offer a robust framework for managing metadata, which is crucial for data governance, data quality, and data integration processes.

Why This Standard is Essential

In today's data-driven world, the ability to effectively manage and utilize metadata is more important than ever. Metadata serves as the backbone of data management, providing critical information about data assets that enable organizations to make informed decisions. The PD ISO/IEC TR 19583-21:2025 standard equips IT professionals with the knowledge and tools necessary to implement and leverage metadata effectively.

Benefits of Implementing This Standard

• Enhanced Data Management: By adhering to this standard, organizations can improve their data management practices, ensuring that metadata is consistently and accurately captured, stored, and utilized.
• Improved Data Quality: The standard provides guidelines for maintaining high data quality through effective metadata management, reducing errors and inconsistencies.
• Streamlined Data Integration: With a standardized approach to metadata, integrating data from diverse sources becomes more efficient and less error-prone.
• Compliance and Governance: Adopting this standard helps organizations meet regulatory requirements and enhance their data governance frameworks.

Who Should Use This Standard?

This standard is ideal for a wide range of professionals and organizations, including:

• Data Managers: Those responsible for overseeing data assets and ensuring their quality and integrity.
• IT Professionals: Individuals involved in the design, implementation, and maintenance of IT systems that utilize metadata.
• Data Analysts: Professionals who rely on accurate and comprehensive metadata to perform data analysis and derive insights.
• Compliance Officers: Those tasked with ensuring that organizational practices meet industry standards and regulatory requirements.

Detailed Content

The PD ISO/IEC TR 19583-21:2025 standard is meticulously structured to provide clear and actionable guidance. Across its 54 pages, it covers:

• Introduction to Metadata: An overview of metadata concepts and their significance in data management.
• Data Model Specifications: Detailed descriptions of the 11179-3, -31, -32 data model and its application in SQL environments.
• Implementation Guidelines: Practical advice on how to implement the standard within existing IT infrastructures.
• Case Studies: Real-world examples illustrating the benefits and challenges of adopting the standard.

Conclusion

The PD ISO/IEC TR 19583-21:2025 is an indispensable resource for anyone involved in the management and utilization of metadata. By providing a comprehensive framework for understanding and applying metadata concepts, this standard empowers organizations to enhance their data management capabilities, improve data quality, and ensure compliance with industry regulations. Stay ahead of the curve and equip yourself with the knowledge and tools provided by this essential standard.

PD ISO/IEC TR 19583-21:2025

This standard PD ISO/IEC TR 19583-21:2025 Information technology. Concepts and usage of metadata is classified in these ICS categories:

• 35.040.50 Automatic identification and data capture techniques
• 35.060 Languages used in information technology