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Data Classification

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May 1, 2024 Updated May 10, 2025 24 minute read

Data classification is the process of organizing data into categories based on its type, sensitivity, importance, and value to an organization. This categorization allows for more efficient use and protection of data. At a fundamental level, classifying data makes it easier to locate and retrieve. It plays a crucial role in risk management, compliance with regulations, and overall data security. The process often involves tagging data so it can be easily searched and tracked, which can also help in reducing data duplication, thereby saving on storage and backup costs while speeding up searches.

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We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Classification.
This document from NIST includes guidance on data classification as part of a comprehensive framework for protecting federal information systems. It valuable resource for organizations seeking to implement data classification programs in accordance with government regulations.
Provides a step-by-step guide to developing and implementing a data classification program. It practical resource for professionals responsible for data security and compliance.
Dedicates a section to data classification, covering the importance of data classification for effective data governance. It valuable resource for practitioners responsible for managing and governing data.
Includes a chapter on data classification, providing a brief overview of the concepts and processes involved. It useful resource for practitioners seeking a broader understanding of information security.
Includes a chapter on data classification, providing an overview of the process and its benefits. It comprehensive guide to data management, covering various aspects including data governance, data quality, and data integration.
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