Data-Based Changes

Running head: DATA-BASED CHANGES
Data-Based Changes
Name of the Student
Name of the University
Author Note:

2DATA-BASED CHANGES
Essay 1: Identify one aspect of big data and data mining that is interesting to you. Explain
the concept and how it might bring value to healthcare.
Introduction
The foremost determination of the essay is to focus on one aspect of big data which is the
relational DBMS and one aspect of data mining which is data management. The importance of
different aspects of data mining and big data in the healthcare industry will be discussed in this
essay in a descriptive format.
Relational DBMS of Big Data
The vast quantities of data which are circulated in the working environment of a
healthcare industry are managed using the big data. The strategic business decision of the
healthcare industries which are based on the data are also done using the big data (Gandomi &
Haider, 2015). Transparency of the transactions concerning the internal and the external
stakeholders of the organization are done using the big data.
The relational DBMS is an important concept of big data which are used in the healthcare
industry for the management of the structured and the unstructured data. All the financial and the
logistical information records of the healthcare industry can be stored effectively using the
RDBMS. The legacy systems which are generally used in the healthcare industries are also
compatible with the RDBMS. The operational demands of the stakeholders of the healthcare
industries can be handled in an effective way using the relational DBMS. The data risks of the
hospital sector can be effectively managed with the help for the relational database management.
The implementation of the business processes is possible using the relational DBMS (Hashem et
al., 2015).

3DATA-BASED CHANGES
Data management of Data Mining
Reliability of the data has to be maintained in the healthcare industry. There are different
categories of tools used for the management of the data these days such as the SAS Data
Management tool. Data management is a very important process for business organizations to
deal with huge amount of data.
The effectiveness of the training can be also determined using big data analysis. The
predictive medicines and the customer relationship of this industry can be also managed using
the data management techniques. The access control of the essential data of the healthcare
industries is very important to be managed as many categories of threats for the data in
healthcare in the healthcare industry (Ratner, 2017). Data management, data processing, data
preprocessing model and the data visualization are the primary concepts of the data management
using data mining. Data Clustering and anomaly detection are the other concepts of data
management which are used in the healthcare industry.
Conclusion
The impact of one aspect of data mining which is the data management and relational
database management of big data analysis has been concluded from this essay. The difficulties of
management of the structured and unstructured data using data management techniques and
RDBMS can be identified from this paper.