Listed below are some topics that will help you understand the concept of databases more in-depth and in simple terms. We will start by learning about data first.
Forward-thinking enterprises utilize databases to their advantage by thinking beyond the basic data storage and transaction needs and analyzing their data from multiple systems.
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What is data?
Data is nothing but information that is collected in various formats such as numbers, text, media, and others. In the context of computing, data can be converted into a binary digital form that enables flexibility to be moved around and processed efficiently. For example, Intellipaat can have data such as the name, age, and educational qualification of its students, details of the various courses it offers, etc.
The term ‘data’ can be used both as singular or plural. From time to time, we come across the term raw data. It is nothing but data in its most basic digital format. In its early days, when the importance of data started gaining momentum, terms like ‘electronic data processing’ or simply ‘data processing’ came to be widely in use in the IT industry.
As data grew exponentially over the years, the units of data measurement continued to grow as well. PwC mentioned that there was 4.4 ZB (zettabytes) of data generated in 2019 worldwide. On the other hand, IDC went on to predict that it will grow to 175 ZB by 2025. Databases, database management systems (DBMS), and relational database management systems (RDBMS) quickly arose to organize all these data.
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What is a database?
A database is a systematic or organised collection of related information that is stored in such a way that it can be easily accessed, retrieved, managed, and updated. It is where all data is stored, very much like a library that houses a wide range of books from different genres. Think of data as books.
In a database, you can organize the data in rows and columns in the form of a table. Indexing the data makes it easy to find and retrieve it again as and when required. Many websites on the World Wide Web are managed with the help of databases. To create a database so that the data is accessible to users through only one set of software programs, database handlers are used.
MySQL, SQL Server, MongoDB, Oracle Database, PostgreSQL, Informix, Sybase, etc. are all examples of different databases. These modern databases are managed by DBMS. Structured Query Language, or SQL as it is more widely known, is used to operate on the data in a database.
A database is typically represented by a cylindrical structure.
Creating a Database
The following is the syntax for creating a new database:
Syntax: CREATE DATABASE database_name;
Example: You can use the following to create a database with the name ‘DataScienceStudents’:
CREATE DATABASE DataScienceStudents;
Major Database Components
- Hardware: Physical electronic devices such as storage devices, I/O devices, and many more. It can act as an interface between computers and real-world systems.
- Software: Programs for managing and controlling the overall database. DBMS itself is software. The OS, the database application programs that allow data access in DBMS, the network software that shares data, etc. are all examples.
- Data: It is the information that is gathered, stored, accessed, and processed by a DBMS, e.g., actual data, operational data, and the metadata.
- Procedure: It is the specific set of instructions and rules to use a database for designing and running the DBMS, as well as to instruct users on how to operate and manage it.
- Database access language: This helps export data to and access the same from the database. To enter new data or update or retrieve the data from the database, you can write commands in the database access language. DBMS then displays the results in a user-readable form.
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Database architecture in businesses and organizations involves the application of programming languages to design software. It mainly involves the design, implementation, development, and maintenance of the computer programs that store and manage data for businesses.
The architecture determines the design of a DBMS. The architecture can be either single-tier or multi-tier like 1-tier architecture, 2-tier architecture, 3-tier architecture, n-tier architecture, etc.
A DBMS provides appropriate language to users to help query databases and updates. It essentially creates and maintains the database. Some examples of database languages are SQL, Oracle, dBase, MS Access, FoxPro etc. Database languages are commonly divided into Data Definition Language (DDL), Data Control Language (DCL), Data Manipulation Language (DML), and Transaction Control Language (TCL).
Data Definition Language (DDL): Helps define data and their relationship to the other data types and creates databases, files, tables, and data dictionaries within databases
Data Control Language (DCL): Controls access to data and the database
Data Manipulation Language (DML): Supports basic data manipulation operations like allowing users to insert, retrieve, update, and delete data from the database
Transaction Control Language (TCL): Manages changes in the database made by the DML statement
Types of Databases
- Relational database: It is the most efficient way to access structured information. The data is organized into a set of tables that has columns and rows.
- Object-oriented database: Here, the data is represented in the form of objects, as in object-oriented programming.
- Distributed database: It has two or more files located in different places. The database may be in the same physical location on multiple computers or scattered over different networks.
- NoSQL database: NoSQL is a nonrelational database that contains unstructured and semistructured data. It rose in popularity as web applications came to be commonly used and became more complex.
- Graph database: It stores data in the form of entities and the relationships between them.
- Cloud database: This database runs on a Cloud Computing platform, and access is provided ‘as a service.’
- Centralization database: CDB is located, stored, and maintained in a single centralized location, for example, a mainframe computer, desktop, or server CPU.
- Operational database: Also known as OLTP or online transactional processing database, it is designed to create or update big amounts of data and store transactions performed by multiple users in real time.
- Data warehouses: It is a central repository for data. It holds current and historical data in a single location for analytical reporting throughout the enterprise.
To explore more about databases, go through our blog on Comparison of Database Technologies with Apache Hadoop.
Advantages of Databases
- Minimum data redundancy
- Improved data security
- Increased consistency
- Lower updating errors
- Reduced costs of data entry, data storage, and data retrieval
- Improved data access using host and query languages
- Higher data integrity from application programs
With the help of databases and other BI tools and computing tools, professionals in organizations are able to make use of the organized data to facilitate improved and effective decision-making, agility, and scalability. The different types of databases, along with the changes in the approaches of technology, advancements in automation and the cloud are driving databases in new directions.
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