adatfeltételek

Adatfeltételek, often translated as "data conditions" or "data requirements," refers to the specifications and criteria that data must meet to be considered valid, usable, and complete for a particular purpose. These conditions can encompass various aspects of data quality, structure, and content.

Data quality aspects include accuracy, completeness, consistency, timeliness, and validity. For example, a datafeltétel for a customer database might require that all email addresses are in a valid format and that all required fields, such as name and contact information, are populated. Timeliness might dictate that data must be updated within a certain period, like the last 24 hours.

Structural conditions relate to the format and organization of the data. This could involve specifying the data types for each field (e.g., integer, string, date), the order of columns in a table, or the acceptable encoding for text. For instance, a file import might have a condition that all data must be in CSV format with a UTF-8 encoding.

Content conditions focus on the specific values or ranges that data can contain. This might include predefined lists of acceptable values for a categorical variable, numerical ranges for measurements, or adherence to specific naming conventions. A dataset for product inventory might have a condition that stock levels cannot be negative.

Establishing and enforcing adatfeltételek is crucial for ensuring the reliability of data analysis, the efficiency of data processing, and the success of applications that depend on that data. They form the foundation for data governance and play a key role in data integration, data migration, and the development of robust information systems.