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In the field of data management, data classification as a part of Information Lifecycle Management (ILM) process can be defined as a tool for categorization of data to enable/help organization to effectively answer following questions: *What data types are available? *Where are certain data located? *What access levels are implemented? *What protection level is implemented and does it adhere to compliance regulations? When implemented it provides a bridge between IT professionals and process or application owners. IT staff is informed about the data value and on the other hand management (usually application owners) understands better to what segment of data centre has to be invested to keep operations running effectively. This can be of particular importance in risk management, legal discovery, and compliance with government regulations. Data classification is typically a manual process; however, there are many tools from different vendors that can help gather information about the data. ==How to start process of data classification== ''Note that this classification structure is written from a Data Management perspective and therefore has a focus for text and text convertible binary data sources. Images, videos, and audio files are highly structured formats built for industry standard API's and do not readily fit within the classification scheme outlined below.'' First step is to evaluate and divide the various applications and data into their respective category as follows: *Relational or Tabular data (around 15% of non audio/video data) * *Generally describes proprietary data which can be accessible only through application or application programming interfaces (API) * *Applications that produce structured data are usually database applications. * *This type of data usually brings complex procedures of data evaluation and migration between the storage tiers. * *To ensure adequate quality standards, the classification process has to be monitored by subject matter experts. *Semi-structured or Poly-structured data (all other non audio/video data that does not conform to a system or platform defined Relational or Tabular form). * *Generally describes data files that have a dynamic or non-relational semantic structure (e.g. documents,XML,JSON,Device or System Log output,Sensor Output). * *Relatively simple process of data classification is criteria assignment. * *Simple process of data migration between assigned segments of predefined storage tiers. Types of data classification - ''note that this designation is entirely orthogonal to the application centric designation outlined above. Regardless of structure inherited from application, data may be of the types below'' 1. Geographical : i.e. according to area (supposing the rice production of a state or country etc.) 2. Chronological: i.e. according to time (sale of last 3 months) 3. Qualitative : i.e. according to distinct categories. (E.g.: population on the basis of poor and rich) 4. Quantitative : i.e. according to magnitude(a) discrete and b)continuous 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Data classification (data management)」の詳細全文を読む スポンサード リンク
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