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Essay on Database Management System

Introduction.

Database Management System is a type of software used in building and managing databases. The DBMS makes it easier for users to create, protect, read, update, and delete crucial information in the database (Pavlo et al., 2017). In addition, the Database Management System software helps users define, create, maintain, and control any access to their database systems. The DBMS allows users to interact with various application programs and retrieve information from various systems. This essay examines the development of a Database Management System by ABC Corporation for its business operation. It will also examine how its DBMS presents a centralized view of its data to ensure multiple users can access it.

Purpose of DBMS in ABC Corporation

The Database Management System will have a vital role in helping ABC Corporation create and manage its database for its business operations. The DBMS will aid the ABC Corporation in managing its vast amount of information. It will also provide the organization with an appropriate mechanism for manipulating its data. Additionally, the database system will help ABC Corporation promote the safety of its store information, despite system crashes or attempts to gain unauthorized access (Pavlo et al., 2017). Database Management has several collection programs that will enable ABC Corporation to create and maintain its database. The DBS software will provide the organization with various defining, developing, and modifying its database for multiple applications. In addition, the DBS shall provide ABC Corporation Company with automatic backup and recovery procedures for its database. The Database Management System will allow ABC Corporation to view its database from various perspectives based on various user requirements.

Benefits of Database Management System

Successful Implementation of database management system by ABC Corporation will provide the organization with multiple benefits, including the following;

Improves Data Transfer and sharing

Database Management system creates an appropriate avenue where users can have the added advantage of managing their data effectively. This will help make it possible for the end-users to have a quick look at their data and respond fast to any changes they identify. The Data Management System will enable ABC corporation to collect, replicate and transmit large amounts of its datasets from one business unit to another. Proper implementation of a database management system will enable the organization to access data easily and allow end-users to share information quickly and effectively across the organization (Zhang et al., 2017).

Effective data integration and quick solutions

Implementing DBMS will promote a complete and integrated picture of the operations of ABC Corporation. It becomes much easier for a person to observe how various processes in one company unit affect the other units. In addition, the management system will help the company make quick solutions to various database questions, thus making information more accessible and accurate (Zhang et al., 2017). By implementing DBMS, the ABC Corporation will be able to synchronize and manage all its forms of data and thus making it easy for the firm to handle its information and aid it in monitoring all its organizational processes. For example, the company’s end-users, like the salespeople, will have improved access to sales data, making huge sales of their products and better decision-making processes.

Enhanced data security

The data management system will provide ABC Corporation with a better framework for enforcing various data privacy and security policies. The database management system will help to promote better transparency and mitigate the risk of breaching various security policies (Zhang et al., 2017). As the number of users continues to share and transfer information online, the rate of data security also increases. It is, therefore, imperative for business organizations such as ABC corporations to invest their financial resources, time, and effort in promoting the security of their database management systems. The DBMS offers an effective platform for promoting data privacy and security policies, thus helping the organization protect its information systems.

Improve data consistency

Data inconsistency often occurs when a company has different versions of the same data. Having an effective data management system within an organization is very critical because it helps in ensuring that data is shared consistently throughout the organization (Zhang et al., 2017). The database Management system will help ABC corporation minimize inconsistencies in its data systems.

Effective decision making

With an effective Database Management System, the ABC Corporation will manage its data properly and enhance its data accessibility. This, in turn, will help the company generate quality information that will result in better and sound decision-making.

Components of Database Management System and its implementation process

The DMBS has several component including;

Software:  This consists of a set of programs such as operating systems and software networks that are critical in controlling and managing database management system.

Hardware:  This component comprises several physical, electronic devices such as computers, I/O devices, and other storage devices (Raza et al., 2018).

Data:  This is the main component of DMBS that helps organizations collect and manage information. It comprises the basic, operational and metadata elements.

Procedures:  This consists of instructions and rules that guide the organization using DMBS.

Database access language:  This is a vital component that helps business organizations to information to and from the database. It also allows user to enter new data, update existing information, and retrieve critical information from database .

The implementation process of DMBS

The implementation phase of a database management system within an organization involves installing DMBS on the appropriate hardware and optimizing the database is running the best software and hardware platforms, creating a database, and loading data (Raza et al., 2018). The following are key steps for implementing Database Management Systems in an organization;

• Installing the Database Management Systems.’
• Setting up various variables based on the hardware, software, and usage requirements.
• Creating databases and tables.
• Loading data in the DMBS.
• Setting up user and security requirements.’
• Implementing data backup systems.

Why business organizations deploy various systems in domestic and global business functions

Given the advancing technologies, the data world has evolved rapidly, thus creating a new dimension for growth, development, and challenges for business organizations across the globe. As a result, both domestic and global business organizations utilize various systems to help them in recording data, storing, updating and monitoring the flow of information within the company regularly (Zhang et al., 2017). In addition, database management systems enable organizations to make appropriate strategic decisions. This is because organizations can collect important information using the DMBS to achieve their organizational goals and objectives. Database Management Systems are crucial for domestic and global functions because they help manage important links. In addition, database management systems provide business organizations with handling multiple types of information. With database Management Systems, small and global business organizations can manage huge volumes of information such as employee records, accounting information, project management, and Inventory (Raza et al., 2018).In addition, with the database management system, multiple users can access organizational data systems at the same time in different ways.

In conclusion, DBMS software provides business organizations with a standard way of cataloging, retrieving, and running queries on their data systems. The database management system can manage all the incoming information, organize it, and provide users with better ways of modifying and extracting data or other crucial programs. Typically, the database management systems are specifically designed with multiple applications that allow them to interact with other users, programs, and databases to capture and analyze data.

Pavlo, A., Angulo, G., Arulraj, J., Lin, H., Lin, J., Ma, L., … & Zhang, T. (2017, January). Self-Driving Database Management Systems. In  CIDR  (Vol. 4, p. 1).

Raza, B., Kumar, Y. J., Malik, A. K., Anjum, A., & Faheem, M. (2018). Performance prediction and adaptation for database management system workload using Case-Based Reasoning approach.  Information Systems ,  76 , 46-58.

Zhang, M., Martin, P., Powley, W., & Chen, J. (2017). Workload management in database management systems: A taxonomy.  IEEE Transactions on Knowledge and Data Engineering ,  30 (7), 1386-1402.

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What Is a Database? Essay Example

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This tutorial video introduces the concept of a database, which is essentially an organized collection of data. Databases could be used for many different purposes in many different industries. In the modern setting, databases refer to software programs that are able to collect and sort data from indicated sources. This information is then stored for later use in a manner that allows this information to be accessible by individuals either locally or internationally. Databases allow for collaborative projects due to the creation of software extensions that allow the information to be shared and viewed more readily than alternatives, such as Excel spreadsheets.

One of the better known database systems is called the Microsoft SQL (Structured Query Language) Server, and main purpose is to store information from other applications that are running on a network. As a consequence, these applications are utilized to store a wealth of data from a variety of different processes and are ideally used in large office settings. The query languages used for this type of system include T-SQL and ANSI SQL. There are many versions of the database software available, and different versions are generally utilized depending upon the needs of the organizations that employ them.

Understanding Database Tables and Records

In databases, the tables are the components of the systems that are used to physically store the data once it is collected. Individuals who wish to retrieve this data for use can scan through these tables using search queries to find the information they desire. While this can also be done manually, databases that are used for the purpose of storing and sorting through a wealth of information are not useful when sorted manually. Therefore, these queries can be used to provide specific information requests and data could then be collected on this basis. A data table is set up similarly to an Excel spreadsheet, with vertical columns and horizontal rows. Each column or row will allow the information to be sorted according to its commonalities. The cell, which meets at the point where the vertical column and horizontal rows intersect, contains the potential data of interest. While tables typically have a specific number of columns, it can have any amount of rows, which is indicative of the amount of data that is stored. Rows are classified according to one or more values and value constraints exist within the contents of particular columns.

Tables can be considered to be a representation of a data relationship. However, relationships can only be determined accurately if the information is sorted using the “order by” and select clauses. Otherwise, there is no guarantee that the information will be sorted according to their relationships. Therefore, care must be taken when examining the data to ensure that relationships are not assumed depending on how the information is sorted. Any relationship or correlation should be determined only in a manner that causes related data to remain together in either column or row form.

More about Column Data Types and Other Properties

Each column in the database is required to have a data name in addition to a data type. There are many general data types in SQL. Some of these types are summarized in the following table:

The commands help the user ultimately distinguish between qualitative and quantitative data so that they may gain a better understanding of the data with relation to its type. It is important for these commands to be used properly to ensure that any relevant data analysis produces meaningful results.

Designing Relational Database Tables

  Relational database tables are designed by creating a set of tuples are records that are present in the data rows. In order for this to be done, it is necessary to determine which categories the data should fall into in addition to how this information should be sorted properly. These relationships must take logical forms in order to be meaningful. In a one to one design pattern, two pieces of information could be related to one another but relationships with greater than this association cannot be determined. Primary keys are used to define such relationships, which allows the user to have a more accurate understanding of the meaning of the information presented before him or her. A one to many relationship could also be created using the database system by allowing the PK to migrate to another table to become a foreign key. This is valuable because it expands the utility of the data gathered on these information systems, allowing it to be used practically.

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Essay about Database

• December 25, 2022

Cloud and Traditional Database

Database Essay Introduction

Databases, whether traditional and cloud, are broadly storages of information in an electronic environment. The type of information is often transactional. The usage of such services has been increasing in such a drastic manner that almost %95 of all data has been created in the last two years (SAP HANA, 2020). More specifically, extraordinary transfer and download speeds due to the latest development in technologies has enabled vast amounts of diverse data worldwide; however, in today’s world, there are now multiple options for managing such a big data thanks to cloud data warehouses and traditional databases (Al Shehri, 2013; Bhatti & Rad, 2017; Donkena & Gannamani, 2013). Although both seem to function in a similar way, they offer different solutions. In this direction, this paper will analyze cloud and traditional databases in terms of their description, differences, similarities, construction process, processes, applications, security concerns, deployment options, query speeds, and scalability. After all, although relational systems are more favorable by small and medium-scale old-school companies, many research and statistics have shown the comparative advantage of cloud-based database systems in terms of scalability, costs, accessibility, security, and deployment.

Traditional Database

Figure 1. The general structure of Traditional Databases (Jain & Alam, 2017).

Broadly, a database is considered storage for information. This kind of information is generally transactional and electronically kept in databases. In this sense, companies and vast organizations tend to have a lot of traditional databases, in which the information is stored from a mere operational system.

Also, a relational system is used to organize the information in a traditional database. In this way, information is stored in tables, rows, and columns. In such a database, “the information is continuously updated, modified, deleted, and added in the technical database catalog” (SAP HANA, 2020, n.p.). Also, such traditional databases generally do not offer a visual-graphical interface to present the data. In other words, a user should be competent in comprehending a query language in order to excel at a traditional database, and SQL is one of those languages in a way (Norris, 2017). After all, one may readily highlight that a user should be highly trained in order to make use of the data available in traditional databases in a meticulous and decent manner. In other words, a qualified database administrator or database specialist is required to maintain the sustainability and operations of the dataset.

Cloud Database

Similar to traditional databases, cloud databases are also concentrated on data storage. The biggest difference from the traditional one is end-to-end analytics. In other words, cloud databases allow users to make use of data from multiple sources, which makes the data available across a wide spectrum of different users. Also, the data may come from social media channels or e-trade platforms. Regardless of the source of the data, cloud databases provide fast querying across multiple data sources as the data is stored in cloud-single storage.

Figure 1. Relational Cloud Architecture (Jain & Alam, 2017).

Furthermore, the real difference is the “translation capabilities, these make it possible for any user to navigate through the data, and SAP Data Warehouse Cloud’s semantic layer translates raw data into the business language to allow organization users to fully comprehend the various sets of tables and views” (SAP HANA, 2020, para. 6). More specifically, regardless of the position of the user, whether analysts or data scientists, data is translated into knowledge, and this aspect makes it possible for users to make use of the collected data.

Advantages and Disadvantages of Different Database Systems

Transitioning from traditional database formation to a complete cloud infrastructure provides a lot of benefits for companies and organizations. Overall cost, mobile access, flexible solutions, disaster recovery, and security are among the leading benefits of cloud-based database systems (Marina et al., 2016). More specifically, expanding the current in-site database to have more storage is costly when compared to cloud systems. However, in cloud-based systems, the cost will merely go up when the organization wants to expand its digital storage or demand additional consultancy services. Also, cloud database systems provide flexible solutions to businesses in terms of managing data. That is, there are no inherent restrictions with cloud systems, and as these systems are drastically improved by data scientists, the organization does not need to invest a lot of money in the sustainability of physical storage capabilities. Simply, an agreement or subscription to such a cloud system will be sustainable, efficient, and flexible for the company.

Figure 2. Traditional vs. Cloud Data Services (Jain & Alam, 2017).

Cloud-based database services also provide mobility. As the business grows, mobile teams will not have any problems regarding accessing the organizational data as they are available at any moment. When compared to prototype on-site traditional database servers, the disaster recovery of cloud services is relatively effective, fast, and responsive. In other words, it will not take weeks to restore data out of a disaster with cloud database systems.

On the other hand, cost concerns, system vulnerabilities, vendor lock-in, and connection downtime can be considered among the negative aspects of cloud-based systems. More specifically, it would be harder for an organization to change its cloud database vendor as the process of transfer from one provider to another is often complicated. Also, with the wrong cloud plan, an organization may pay lots of money to cloud systems. In other words, a meticulous projection is required to evaluate the required data storage capability in order not for organizations to pay sharp amounts of money when compared to traditional database services.

Although cloud systems are highly protected, no system is infinitely safe. Therefore, they can be attacked or even hacked electronically; risks can be quite mitigated by keeping up with the security concerns and recommendations of the cloud base specialists. Also, as these cloud database systems are highly dependent on the internet service providers, there can be problems regarding the internet connection when compared to traditional database services.

Applications of Databases

Microsoft SQL AZURE, Amazon Relational Database Service (Amazon RDS), Google Cloud SQL, Google Datastore, and Database.com are among the leading applications for cloud-based systems (Curino et al., 2013). On the other hand, traditional systems require a setup, and they tend to have local systems, unlike the aforementioned applications. They may as well make use of SQL systems. However, they are not internet-based.

Oracle, MySQL, Teradata, MariaDB, Microsoft Access, SQLite, IBM DB2, PostgreSQL, and Apache Hive are among the leading applications of traditional relational database systems.

Figure 3. Common Security Consideration Relative Cloud (Shehri, 2013)

Scalability of Databases

Relative databases are now antique when compared to cloud solutions as their storage capacity is quite dependent on the preferences of the users. Within seconds, the storage capacity of cloud systems can be increased. However, this approach is not possible in relative traditional databases as they require sophisticated and meticulous internal setup procedures on LAN. More specifically, expanding storage capacity on cloud-based systems will not be a physical, locational problem for an organization as they are handled by platforms through quick arrangements and agreements.

Traditional databases require more time and effort in terms of location, expansion, and deployment time, as they need a provisional testing period for the new storage capacity. Also, extra IT specialists may be required if storage capacity is drastically increased to manage the data accordingly. In this sense, the overall scalability of cloud systems seems way more advantageous and cost-friendly for vast organizations in the long run.

As a result, this paper has analyzed cloud and traditional databases in terms of their description, differences, similarities, construction process, processes, applications, security concerns, deployment options, query speeds, and scalability. Accordingly, similar to traditional databases, cloud databases are also concentrated on data storage. The biggest difference from the traditional one is end-to-end analytics. In other words, cloud databases allow users to make use of data from multiple sources, which makes the data available across a wide spectrum of different users. Transitioning from traditional database formation to a complete cloud infrastructure provides a lot of benefits for companies and organizations. Overall cost, mobile access, flexible solutions, disaster recovery, and security are among the leading benefits of cloud-based database systems. After all, although relational systems are more favorable by small and medium-scale old-school companies, many research and statistics have shown the comparative advantage of cloud-based database systems in terms of scalability, costs, accessibility, security, and deployment.

Al Shehri, W. (2013). Cloud database as a service. International Journal of Database Management Systems, 5(2), 1–12. Retrieved November 23, 2020, from https://doi.org/10.5121/ijdms.2013.5201

Bhatti, H., & Rad, B. (2017). Databases in cloud computing: A literature review. International Journal of Information Technology and Computer Science, 9(4), 9–17. Retrieved November 23, 2020, from https://doi.org/10.5815/ijitcs.2017.04.02

Curino, C., Jones, E., Popa, R. A., Malviya, N., Wu, E., Madden, S., Balakrishnan, H., & Zeldovich, N. (2013). Relational Cloud: A Database-as-a-Service for the Cloud [PDF]

Donkena, K., & Gannamani, S. (2013). Performance evaluation of a cloud database and traditional database in terms of response time while retrieving the data [PDF]. diva-portal.org.

Jain, S., & Alam, M. (2017). Comparative Study of Traditional Database and Cloud Computing Database. International Journal of Advanced Research in Computer Science.

Marina, B., Memon, D., & Naz, R. (2016). Comparative analysis of Cloud database, remote database, and traditional database. International Journal of Computer Science and Information Security, 14(10), 242–246.

Norris, D. (2017, October 2). DBaaS vs Traditional Databases: Why You Should Pay Closer Attention. stratoscale.com.

SAP HANA. (2020, April 9). What’s the difference between a database and cloud data warehouse? SAP HANA Journey.

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Databases Essay Examples

Type of paper: Essay

Topic: Model , Workplace , Company , Data Analysis , Nature , Information , Software , Organization

Published: 02/22/2020

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Introduction

An organization needs the right amount of workforce as well as the right amount of personnel to bring in the best amount performance that they are expected to deliver. The performance that is to be delivered by the organization is based on the number of goals the organization seeks to satisfy. These goals are however set by the organization depending on their nature of work as well as their needs in the organization. Many of the organizations would choose the people that are to become future employees by looking at how they are able to conform to the different competitive world as well as improve the value of the company. If the employees do not meet the requirements of the company, the company is usually forced to lay off some of the workers in a bid to stay to the course that they wish to remain. Regulations are always drawn to ensure that the process of the choosing the people to enter the company limits the number of the people being employed by the company to the desired number. In a technology firm, the same method is applied if the company is not satisfied with the achievements of the workers. A relational database is the cumulative collection of data items. These items are then organized into sets of tables through which the same data may be is assembled and be re-assembled. Each table in this type of database relation is built out of rows and columns. This are however referred to as attributed and tuples when one is using the relational theory .The data in the database is organized into tables that contain five pre-defined categories that are used to store the necessary data that is needed by the program. This type of database uses structured query language, and the user can access the data by use of an application that can access data from the database and present it to a user in a manner that he can understand. In a database that has been organized well, there are no repetitions in terms of the nature of the data that is stored. Relational database systems are very important since they ensure that data that is saved on the system remains in a single unit and does not replicate the data that is stored in the system. the relational database system is also considered to be the best since it is most effective when compared to other database systems. The relational database system is also useful in companies and other government structures when they need to fill in the information of a person. The relational database is what has made possible the storage of this data and thus has made it easier for the government offices to obtain the information about anyone whenever they need. Relational databases are also needed since they are used to separate the information about a person and are used in many institutions. Database normalization is the process of rearranging the different fields and tables that are found in a database so that the fields may be free from anomalies that may occur in the system. The problems may also be in the form of redundant data. The anomalies are thus the occurrences that are responsible for the weakening the integrity of the data that is stored. Normalization seeks to eliminate these types of anomalies in the design. This process of organization of the data in the database system also seeks to ensure that data dependencies that may occur in the system make sense. This is always done when a database is poorly designed. The process of normalization is important to the database systems is important since it organizes the data in a logical manner. Apart from the logical organization of the data, anomalies and redundancy are also removed from the database system. this also minimizes the amount of duplicated data. Through the process, more space is freed by this process and this makes sure that more data can be stored in the system. The process of normalization ensures that one can access and use the data that is stored in the database system more effectively and quickly. After the process of normalization, the nature of modification incase one does a modification will only affect one place and not the entire database system. The logical database model presents the data as models compared to the physical database model where this deals with the construction of database systems only. This is a key difference that occurs between the two groups. The logical database model creates the data stored in form of diagrams. These are entity relationship diagrams that show the different relationships between different data. The logical database modeling thus does not include the use of constraints and indexes in the designing of such systems and is used across database software. The physical database modeling on the other hand is concerned with constraints and indexes and is thus used in the modeling of certain hardware specific and software.

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The Role of Databases in Organizations Essay

In the contemporary technology-driven world of business, the use of information technologies is essential for the efficient and competitive implementation of business practices. The application of databases in the organizational processes allows for achieving better results in company performance due to the automation of information analysis practices. Moreover, it is more efficient to use technology from a long-term perspective in comparison to the workforce doing the same processes manually. Several pivotal aspects characterize the use of databases in organizations as beneficial. They include the following:

• inventory tracking for the company;
• communication inside the organization using;
• accounting systems;
• electronic processing of employees’ salary payout system;
• human resource record tracks;
• data analysis for business decision-making;
• marketing procedures;
• customer service analysis.

The benefits of using databases are characterized by the complexity of preserving the safety of confidential information that is processed inside the company. Therefore, it is essential to oversee the database security measures. Several reasons justify the importance of database security in an organizational setting, namely:

• it is vital to protect intellectual property;
• it is important to keep confidential information secret from competitors to maintain competitive advantages;
• the database security should be prioritized to protect the privacy of employees;
• secure databases are not at risk of cyberattacks that might hinder company credibility;
• it is important to use secure databases to minimize online theft from the company.

Similarly, the use of GDPR is validated by such benefits for the company and employees as:

• the availability of a position of a data protection officer for proper database security policies implementation;
• the obtainment of trust from customers due to the technological reliability of the organization;
• proper response to any breach of security;
• transparent organizational setting;
• improvement of the integration of up-to-date technologies in the company performance.
• Conceptual, Logical, and Physical Data Models
• The Amazon Conceptual and Categorical Analysis
• Protecting Digital Assets Overseas for U.S. Companies
• Legal Risks of AI Cybersecurity in the European Union
• Artificial and Automated: Innovation in Marketing
• Cap Ordering in Data Flow Diagrams
• How to Manage Business Information in Databases
• Data Mining Tools and Data Mining Myths
• Virtualization Technique in Business Information Technology
• Mass Storage Devices: Advantages and Disadvantages
• Chicago (A-D)
• Chicago (N-B)

IvyPanda. (2023, May 19). The Role of Databases in Organizations. https://ivypanda.com/essays/the-role-of-databases-in-organizations/

"The Role of Databases in Organizations." IvyPanda , 19 May 2023, ivypanda.com/essays/the-role-of-databases-in-organizations/.

IvyPanda . (2023) 'The Role of Databases in Organizations'. 19 May.

IvyPanda . 2023. "The Role of Databases in Organizations." May 19, 2023. https://ivypanda.com/essays/the-role-of-databases-in-organizations/.

1. IvyPanda . "The Role of Databases in Organizations." May 19, 2023. https://ivypanda.com/essays/the-role-of-databases-in-organizations/.

Bibliography

IvyPanda . "The Role of Databases in Organizations." May 19, 2023. https://ivypanda.com/essays/the-role-of-databases-in-organizations/.

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On the databases page you will find more than 300 different databases. To determine which one is best for your project, you can use the menu in the top left corner to search for databases by Subject.

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