adatproblémák
Adatproblémák refers to issues and challenges encountered when working with data. These can arise at various stages of the data lifecycle, from collection and storage to processing and analysis. Common data problems include data quality issues such as inaccuracies, incompleteness, and inconsistencies. Inaccurate data can lead to flawed analysis and poor decision-making. Incomplete data, where certain values are missing, can also skew results or make analysis impossible without imputation techniques. Inconsistent data, where the same information is represented differently across datasets, requires standardization and cleaning.
Another significant category of data problems relates to data volume and velocity. Big data challenges arise
Data accessibility and security are also critical concerns. Data silos, where data is isolated in different