Question

Discuss the foundations and evolution of traditional data in a database and before databases existed.

Discuss the foundations and evolution of traditional data in a database and before databases existed.

Homework Answers

Answer #1

Solution :-

Foundation and evolution of Database Management System

Data and Information are a part of everybody's daily life in the present day. Even if people who do not own a computer or mobile phone interact with them regularly. When we are giving our attendance, or shopping online or using a social medial platform, we are accessing a database. The goal of information systems is to transform data into information in order to generate knowledge that can be used for decision making.

Databases are essentially software applications. A database management system provides data to other applications, allowing all the digital information systems that we interact with today. The well-organised system of collection and storage which allows easy access of a particular record or data entered in the system is the key feature of the Database management system. Many applications use databases to access information from them. These applications process the data and turn it into something useful for the users, which is the end information.

History and evolution of database

Before the existence of databases, the data were recorded on paper. We had lists, journals, registers, and endless archives containing hundreds of thousands or even millions of records contained in the cabinets. The records were physically fetched and it took a lot of effort and time to even get a small chunk of data. There were often big problems ranging from misplaced records to fires that wiped out entire archives and destroyed the history of societies, organisations and governments. There were also security problems because physical access was often easy to gain. Thus even the most valuable data were also vulnerable.

Virtual database was created with the evolution of technology to try and solve these limitations of traditional paper-based information storage. In databases, the files are called records and the individual data elements in a record (for example, name, phone number, date of birth) are called fields. The way these elements are stored has evolved since the early days of databases.

The earlier database systems were made according to the hierarchical and network models. The hierarchical model organised data in the form of a tree.

Hierarchical Model :- The hierarchical model represents data as records which are connected with links. Each record has a parent record, starting with the root record. Records in the hierarchical model contained one field. To access data using this model, the whole tree had to be traversed. These types of database still exist today and do have a place in development, despite the significant advances in technology.

The hierarchical model did solve many of the problems mentioned above with a paper-based system.

Network Model :- It was the next significant innovation in databases. It overcame the restrictions of the hierarchical model. This model allows relationships, and it has a “schema”. The main difference between the hierarchical model and the network model is that the network model allows each record to have more than one parent and child record. The network model allows entities to have relationships, just like in real life.

Relational model :- The relational model was much easier for designers to understand and the programming interface was better. The 1980s saw tremendous advances in computing technology and the relational model started to become the most popular. The relational model describes the data in a database as being stored in tables, each containing records with fields. Most relational databases use a standard method for accessing the data: the Structured Query Language (SQL). SQL allows an application to gain access to the data needed by a user. The main advantage of the relational model is that it provides consistency in the data.

Since the relational model was created in the late 1960s, it has changed little. Database companies are among the largest and most profitable organisations in the world, and companies founded in the 1960s and 70s are still thriving today.  

Oracle dominated in the enterprise till the end of 80's when Microsoft developed a database called SQL Server 1.0.

In 1995, the first version of MySQL was released by a Swedish company MySQL AB, who funded the open source project. This software was the first significant database of the Internet and continues to be used by companies like Google (although not for search), Facebook, Twitter, Flickr and Youtube. The open-source license gave freedom to website developers and meant they did not have to rely on companies like Oracle and Microsoft. LAMP (Linux, Apache, MySQL and PHP) became the most common setup for websites.  

Databases have allowed companies to develop incredibly sophisticated enterprise resource systems (ERP) that gather data from every part of an organisation and store it all in a central database. Data is collected from factories, offices, remote workers, sensors and anywhere that useful and quantifiable data exists.

Conclusion

Since their creation in the 1960s, databases have come a long way. Initially, they were a solution to the problem of storing and protecting the things we took note of and making it more accessible at a faster speed with less effort. Over time, they have become integral in our society, and we rely on them for banking, security, policing and in providing the services for our digital lives. For companies and large organizations, business intelligence systems are helping to make more accurate decisions based on real facts, rather than guesswork based on experience. Big Data is helping us find new insights from the data we have generated in the past and will be vital in understanding the society of the future. Without the service of databases, we would still be losing valuable information and the digital revolution would not have happened. The upcoming industrial revolution will be driven by data, and it will transform the lives of every consumer and business in the world.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Discuss the types of electronic databases available for collecting data. Include a manual form for data...
Discuss the types of electronic databases available for collecting data. Include a manual form for data collection and a computerized form for data collection. You will be using this form to set up your outbreak syndromic surveillance plan data collection.
At University Hospital, the Database Management Systems (DBMS) administrator is responsible for creating and maintaining databases....
At University Hospital, the Database Management Systems (DBMS) administrator is responsible for creating and maintaining databases. Several departments have asked him to develop a process to keep track of all the data they document. In the past, they have had problems creating a system that modeled well and supported end-user access. The database administrator must create a way to track all the data in the organization. What steps should the DBMS administrator take to ensure the information is organized and...
Database security can be a very complicated business. There are many different forms of database using...
Database security can be a very complicated business. There are many different forms of database using many different languages as a foundation. Databases are implemented in a variety of environments and contexts. This highly variable context related to database implementation means that security professionals are required to consider the risks to database security within the specific context; however, there are some security threats and mitigating controls that are common across database solutions. These common approaches to database security are known...
1- How can database systems improve data quality and data integrity? 2- Discuss database constraints: Primary...
1- How can database systems improve data quality and data integrity? 2- Discuss database constraints: Primary key, check, and referential integrity constraints? Give an example for each.
Match Data Independence to one of the following choices: A. An integrated decision support database with...
Match Data Independence to one of the following choices: A. An integrated decision support database with content derived from various operational databases and external sources B. A logical description of some portion of the database that is required by a user to perform some task C. A software system that is used to create, maintain and provide controlled access to user databases D. A centralized knowledge base of all data definitions, data relationships, screen and report formats, and other system...
Compare traditional paper health records. What can one do that the other cannot? Some of the...
Compare traditional paper health records. What can one do that the other cannot? Some of the formats of electronic data include spreadsheets and databases. what are some of the trade-offs between using a spreadsheet versus a database to record. analyze, and retrieve data in a health care setting?
Discuss the importance of database security and a few of the challenges facing developers as demand...
Discuss the importance of database security and a few of the challenges facing developers as demand for big data analytics and business intelligence initiatives increases within business segments. This requires significant thought and a complex response where several aspects and their relationships must be discussed. The response should address items such as database systems, database security, developer challenges, big data, big data analytics, business intelligence, and business segments. The response must also discuss the relationships between each item and explain...
Discuss what is involved in the data infrastructure for health IT (e.g., billing and coding data...
Discuss what is involved in the data infrastructure for health IT (e.g., billing and coding data sets, registries, databases, etc.).
1. Is it important to encrypt your database? Does the Academic Database have sensitive data that...
1. Is it important to encrypt your database? Does the Academic Database have sensitive data that needs to be encrypted? Why or why not? Address these questions in the space below; your answer should be addressed in 100 to 150 words. 2. Which of the case studies that you read (Walmart, Target or 5 Big Data Industries) caught your attention and why? Before reading the articles, did you think about data being used in the manner that it is? Name...
Let's do a search on the term "deferred revenue" in the codification database. Discuss one aspect...
Let's do a search on the term "deferred revenue" in the codification database. Discuss one aspect of the authoritative literature on this topic. *Please do not provide an answer from you old data base. I saw the one already posted and I am still confused. Provide the quoted authoritative article.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT