adatátalakítási

Adatátalakítás, often translated as data transformation, is a fundamental process in data management and analysis. It involves converting data from one format or structure to another. This can be necessary for a variety of reasons, such as making data compatible with a new system, cleaning and standardizing data for analysis, or preparing data for a specific application.

The process of adatátalakítás typically encompasses several key steps. Data cleansing is often the first phase, where errors, inconsistencies, and missing values are identified and corrected. Following this, data standardization may occur, ensuring that data conforms to a consistent set of rules and formats. For example, dates might be converted to a uniform format, or units of measurement might be harmonized. Data enrichment is another common aspect, where additional information is added to existing data to make it more comprehensive or useful. This could involve combining datasets or looking up external data sources. Finally, data reshaping or restructuring might be performed to align the data with the requirements of a target system or analytical model.

Adatátalakítás is a critical component in Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes, which are widely used in data warehousing and business intelligence. It ensures that data is accurate, consistent, and in the optimal format for its intended use, thereby facilitating more reliable and insightful data analysis.