A database is an organized collection of data stored in a computer system and usually controlled by a database management system (DBMS). The data in common databases is modeled in tables, making querying and processing efficient. Structured query language (SQL) is commonly used for data querying and writing. The Database is an essential part of our life. We encounter several activities that involve our interaction with databases, for example in the bank, in the railway station, in school, in a grocery store, etc. These are the instances where we need to store a large amount of data in one place and fetch these data easily.
Application: Company Information, Account information, manufacturing, banking, finance transactions, telecommunications.In a database, data is organized into tables consisting of rows and columns and it is indexed so data can be updated, expanded, and deleted easily. Computer databases typically contain file records data like transactions money in one bank account to another bank account, sales and customer details, fee details of students, and product details. There are different kinds of databases, ranging from the most prevalent approach, the relational database, to a distributed database, cloud database, and NoSQL databases.
- Relational Database: A relational database is made up of a set of tables with data that fits into a predefined category.
- Distributed Database: A distributed database is a database in which portions of the database are stored in multiple physical locations, and in which processing is dispersed or replicated among different points in a network
Cloud Database: A cloud database is a database that typically
These interactions are examples of a traditional database where data is of one type is textual. In advancement of technology has led to new applications of database systems. New media technology has made it possible to store images, and video clips. These essential features are making multimedia databases. Nowadays, people are becoming smart – before making any decisions they analyze facts and figures related to it, which come from these databases. As the databases have made it easier to manage information, we can catch criminals and do deep research.
What is DBMS?
Collection of interrelated data and set of programs to access data example – MySql, Oracle.
- An interface for operations like creation, deletion, modification, etc is provided by DBMS.
- DBMS allows the user to create their databases as per their requirement.
- DBMS accepts the request from the application and provides specific data through the operating system.
- DBMS contains a group of programs that act according to the user’s instructions. It provides security to the database.
Conclusion
Databases play a critical role in managing and organizing data efficiently in today’s data-driven world. From small businesses to large enterprises, databases offer a reliable way to store, retrieve, and manipulate data, enabling users to make informed decisions and drive growth. Understanding the types, structures, and purposes of databases is essential for anyone working with data, whether in tech, business, or any other field. As technology continues to evolve, so too will the capabilities and importance of databases, making them a foundational element in the digital age.
Advantages and disadvantages of DBMS
The Database Management System (DBMS) is defined as a software system that allows the user to define, create and maintain the database and provide control access to the data.It is a collection of programs used for managing data and simultaneously it supports different types of users to create, manage, retrieve, update, and store information.
Advantages
Several advantages of applying a database approach in an application system are obtained including:
1. Control of data redundancy
The database approach attempts to eliminate the redundancy by integrating the file. Although the database approach does not eliminate redundancy entirely, it controls the amount of redundancy inherent in the database.
2. Data consistency
By eliminating or controlling redundancy, the database approach reduces the risk of inconsistencies occurring. It ensures all copies of the data are kept consistent.
3. More information from the same amount of data
With the integration of the operated data in the database approach, it may be possible to derive additional information for the same data.
4. Sharing of data
The database belongs to the entire organization and can be shared by all authorized users.
5. Improved data integrity
Database integrity provides the validity and consistency of stored data. Integrity is usually expressed in terms of constraints, which are consistency
rules that the database is not permitted to violate.
6. Improved security
The database approach protects the data from the unauthorized users. It may take the term of usernames and passwords to identify user type and their access rights in the operation including retrieval, insertion, updating, and deletion.
7. Enforcement of standards
The integration of the database enforces the necessary standards including data formats, naming conventions, documentation standards, update procedures, and access rules.
8. Economy of scale
Cost savings can be obtained by combining all the organization's operational data into one database with applications to work on one source of data.
9. Balance of conflicting requirements
By having a structural design in the database, the conflicts between users or departments can be resolved. Decisions will be based on the base use of resources for the organization as a whole rather that for an individual entity.
10. Improved data accessibility and responsiveness
By having an integration in the database approach, data access can cross departmental boundaries. This feature provides more functionality and better services to the users.
11. Increased productivity
The database approach provides all the low-level file-handling routines. The provision of these functions allows the programmer to concentrate more on the specific functionality required by the users. The fourth-generation environment provided by the database can simplify the database application
development.
12. Improved maintenance
A Database approach provides a data independence. As a change in data structure in the database will affect the application program, it simplifies
database application maintenance.
13. Increased concurrency
The database can manage concurrent data access effectively. It ensures no interference between users that would not result in any loss of information or loss of integrity.
14. Improved backing and recovery services
Modern database management system provides facilities to minimize the amount of processing that can be lost following a failure by using the transaction approach.
Disadvantages
Despite a large number of advantages that can be found in the database approach, it is not without any challenges. The following disadvantages can
be found including:
1. Complexity
The database management system is an extremely complex piece of software. All parties must be familiar with its functionality and take full advantage of it. Therefore, training for the administrators, designers, and users is required.
2. Size
The database management system consumes a substantial amount of main memory as well as a large number amount of disk space to make it run efficiently.
3. Cost of DBMS
A multi-user database management system may be very expensive. Even after the installation, there is a high recurrent annual maintenance cost for the software.
4. Cost of conversion
When moving from a file-based system to a database system, the company is required to have additional expenses on hardware acquisition and training costs.
5. Performance
As the database approach is to cater to many applications rather than exclusively to a particular one, some applications may not run as fast as before.
6. Higher impact of a failure
The database approach increases the vulnerability of the system due to the centralization. As all users and applications rely on the database availability, the failure of any component can bring operations to a halt and affect the services to the customer seriously.
AWS - Database
Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations like compute power, database storage, content delivery, etc., to help corporates scale and grow.
Why AWS databases?
AWS databases offer a high-performance, secure, and reliable foundation to power generative AI solutions and data-driven applications that drive value for your business and customers. AWS high-performance databases support any workload or use case, including relational databases with 3-5x faster throughput than alternatives, purpose-built databases with microsecond latency, and built-in vector database capabilities with the fastest throughput at the highest recall rates.
AWS provides serverless options that remove the need to manage capacity by instantly scaling on demand. AWS databases deliver unmatched security with encryption at rest and in transit, network isolation, authentication, resolution of anomalies, and rigorous adherence to compliance standards.
They are highly reliable because the data is automatically replicated across multiple Availability Zones within an AWS Region. With 15+ database engines optimized for the application’s data model, AWS fully managed databases remove the undifferentiated heavy lifting of database administrative tasks.
Types of Database Services Offered on AWS
AWS offers a wide range of database services for you to choose from. The service fall into two groups: relational and non-relational (NoSQL).
In this section we provide a breakdown of Amazon database services into relational and non-relational, in the AWS DatabaseServicessection below you can learn about selected services in more detail.
AWS Relational Database Services
Relational databases store data in tabular form with columns and rows, and can be queried using the SQL query language. In these databases, columns represent attributes and rows represent records. Each field in the table is a data value.
Use cases for relational databases on Amazon include:
- Enterprise resource planning (ERP) apps
- Customer relationship management (CRM) apps
- Finance data
- Transactions
- Data warehousing
The primary Amazon services providing relational databases are:
- Amazon Aurora
- Amazon RDS
- Amazon Redshift
AWS Databases Services
Once you understand what options are available to you for databases in AWS, you can begin narrowing them down. The following services are some of the most commonly used. Keep in mind when reviewing these descriptions that frequently, AWS customers implement multiple database types to meet their needs. You too should consider multiple options if one doesn’t meet all of your needs.
Amazon RDS
AmazonRDS is a managed, relational database service that includes six different database options. These include AWS Oracle, PostgreSQL, AWS MySQL, MariaDB, SQL Server, and Amazon Aurora. You can manage these database engines from a centralized management console, a command-line interface, or via API calls. When using this service, many administrative tasks are automated, including database setup, hardware provisioning, backup, and updating.
Use cases of Amazon RDS include:
Web and mobile applications : provide the scalability, availability, and throughput needed for enterprise-grade applications.eCommerce applications—provides flexibility, security, and PCI compliance needed for eCommerce.
Mobile and online games : provides high-throughput and availability to ensure that games remain online and responsive to players.
What is a MySQL database?
MySQL is an open source relational database management system based on SQL. It was designed and optimized for web applications and can run on any platform. As new and different requirements emerged with the internet, MySQL became the platform of choice for web developers and web-based applications. Because it’s designed to process millions of queries and thousands of transactions, MySQL is a popular choice for e-commerce businesses that need to manage multiple money transfers. On-demand flexibility is the primary feature of MySQL.
MySQL is the DBMS behind some of the top websites and web-based applications in the world, including Airbnb, Uber, LinkedIn, Facebook, Twitter, and YouTube.
Amazon Quantum Ledger Database (QLDB)
Amazon (QLDB) is a fully managed, serverless ledger database service. You can use it to track application data changes with a verifiable history. With QLDB, you can avoid the need to build custom ledger applications and associated verification tools. You can query data in QLDB using a SQL-like API.
Use cases for Amazon QLDB include:
- Finance : Including credit and debit transactions.
- Insurance : Including claim transactions and auditing.
- HR and payroll : Including employee benefits, performance histories, or certifications
- Retail and supply chain management: Including batch tracking, product recall processes, and shipping details.
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