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.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 important because it protects and monitors the lifecycle of the dataA lifecycle is a process from collection upto analysis to the point where it is finally used.
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.Sometimes it involves removing numbers that are out of range or even aligning the data in order. 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 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. This is always intended to improve the quality of data by minimizing alterations. One can ensure the security of the data by installing passwords and other control mechanisms that have the ability to restrict data modifications and access to the same data. Some of the applications currently place discourages modifications but allow replication or copying.
Data management practices. This is a concept that is normally used to refer to data storing and retrieving. 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.