Data management is a term used by researches and other companies to describe to the architecture and practices used in data mining and even storage.They include various ways and even different persons and practices are used.The process of storing the data may consist of softwares that are normally used to store the data or some may even be used to do the anasysis and coding.
This article will mainly be restricted on focusing on various methods and practices used in storing and analyzing the data.Data management is vital in ensuring that the data’s life is kept safe.Data lifecycle is a word used in describing the process of collecting up to analysis and coding, to such a point whereby its uses is minimal.
We wil start with data modeling, planning and finding of meaning.Data analysis is finding or getting meaning to the data that is stored in the computer.
Let we now focus on the quality of the data stired.Cleaning of the data is just one of the many aspects of data quality. Data cleaning is the removal of unwanted elements within your data set.one can remove non correspondent data in the data set in an effort to ensure that the data is clean. Another aspect related to data cleaning is consistency, where you ensure that the data is consistency such that there is no anything that is out of place, such as dates and currency.
Data quality is yet another important aspect of data management. This is known to be the aspect of ensuring that the data truly reflects the actual picture in real world. High quality data normally is in consistency with the current picture on the ground. On the other hand, low quality data normally is the opposite or do not match the situation in the real world.
Data security is ensuring that the data is highly protected in terms of security of the system and other features. One can prevent the data from being corrupted. This is done by use of various means such as use of password and instilling of other measures that minimizes accessibility to the data. Some software ensures that the data they store cannot be changed but can be replicated.
Data storing and retrieving. It is a term that are normally used to refer to the processes of storing and taking the data. Data management has the administrator and the user. The administrator is the person who inputs the data and later and is in a position to do changes and alterations, while the user only uses the data and cannot be able to do any modifications.