Data management may refer to the aspects of drawing plans and culture of collecting and keeping the data.They include various ways and even different persons and practices are used.They may not only consist of persons but also database systems that are used by administrators and scientists.
This article will mainly be restricted on focusing on various methods and practices used in storing and analyzing the data.This is very important in ensuring that the data is kept safe through the various ways and process.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.
Let us start with data architecture, analysis and modeling.Data analysis is getting the meaning to the already collected or stored data in terms of graphing or other means.
One of the first aspect to consider is the data quality.Cleaning of the data is just one of the many aspects of data quality. Data cleaning can be described as the process of ensuring that the data only contains the most important aspects that have only been collected and not any other.one can remove non correspondent data in the data set in an effort to ensure that the data is clean. Consistency is another area closely related to data cleaning whereby, there is assurance of order of the data such that the elements such dates follow each other in the correct sequence.
Data quality is another aspect related to the data management. This is known to be the aspect of ensuring that the data truly reflects the actual picture in real world. Data that is deemed to possess a high degree of quality normally reflects the true situation in the real world. Low quality data nor show the real world situation.
Keeping the data safe is ensuring that there is minimal access to the data by all people that can either cause damage to the data or cause additional changes that are not important. 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 management practices. These are terms used to refer to the process of keeping and using the data. Data management has the administrator and the user. The administrator is the person who puts the data into the data base and has the moral authority and ability to make modifications but the user can only use the data.