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Data Management Practices.

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.There exists different methods and different people to ensure that the process of managing the data is complete.The whole process may not only involve persons, but also softwares that are used for this process mainly used by database administrators and even scientists and researchers.

In this article, we will look into different ways of data management from analysis, keeping safe and even others aspects such as copying into different ways.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 finding the meaning of the data either through computation or finding the meaning of words or graphing.

Data quality management is another important aspect in this.These have got many areas such data cleaning and others. 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 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. This means a data that is of high quality reflects the true situation on the ground. A low quality data does not reflect the picture on the ground.

Security of the data is the process of ensuring that the so collected data is not vulnerable to corruption and other malpractices that can render the data unusable. The idea here is to prevent corruption of the data. 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. They work in such a manner that, there must be an 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.

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