adatskálaszintek
Adatskálaszintek, or data scale levels, refer to the various stages of data growth and complexity within an organization's data ecosystem. Understanding these levels is crucial for effective data management, storage, and analysis. The primary data scale levels are:
1. Structured Data: This is the most basic level, consisting of organized data that is easily searchable
2. Semi-Structured Data: This level includes data that does not fit neatly into traditional database tables
3. Unstructured Data: This is the most complex level, comprising data that does not have a predefined
4. Big Data: This level refers to extremely large and complex data sets that require specialized tools
5. Dark Data: This is data that is collected but not used or analyzed. It represents a
Each level of data scale requires different strategies for storage, processing, and analysis. Organizations must understand