BEGINNER
SQL

A Beginner’s Guide to SQL & Relational Database Management Systems

intro

In this guide, we'll delve into the essentials of SQL and Relational Database Management Systems. Perfect for beginners or those needing a refresher, let's simplify the world of relational databases together.

Preface

SQL and Database Management Systems are two of the most important and widely used tools in the world today. In business settings, Database Management Systems (DBMS) are used to store data obtained from various sources and means and are manipulated with SQL (Structured Query Language) to arrive at insights that can be used for making meaningful business decisions.

We’ll talk about the basics of DBMS and SQL, the most important features, and the need for DBMS and SQL.

What is a Database Management System?

A Database Management System (DBMS) is a software system that allows users to define, create, maintain, and control access to the database. A DBMS acts as an interface between end-users or application programs and a database. As part of the major characteristics of DBMSs is its enforcement of user-defined validation rules, ensuring the integrity of data. It also ensures that only authorized users can access the database. These are not the only characteristics, we’re going to look at a lot more in the following chapters.

Components of a Database Management System

Just as all systems have components that come together to make a complete system, so does a DBMS. The components that come together to make up a DBMS are as follows

  • The Database engine: this is where the processing and execution of queries are done.
  • The storage manager: oversees how data is physically stored, organized, and retrieved from storage mediums. This ensures optimal performance and ensures data integrity.
  • Concurrency control manager: this unit controls the simultaneous data access of data from the database by multiple users.
  • Transaction manager: this unit ensures that ACID properties for transactions are being followed
  • Recovery & Backup Manager: this particular unit handles data backup and restoration activities.
  • Storage Unit: this stores data and metadata as well. Metadata is information that describes the database’s structure

Now that we have an idea of the major makeup components of database management systems, let’s move forward to learn what relational database management systems are.

Relational Database Management Systems

Relational database management systems (RDBMSs) are database management systems whose entire operation is based on the relational model of data. In relational DBMSs, data are stored in tables and each table has a predefined schema with columns and data types.

Some of the RDBMSs are PostgreSQL, MySQL, MSSQL, Oracle, etc.

At this juncture, we have an idea of what a database management system is, and its components. The next item in the line is to learn SQL. Let’s go!

What is SQL?

SQL (Structured Query Language) is the primary language for interacting with traditional relational databases and understanding SQL is fundamental for anyone working in data management, data analysis, or related fields. As we have said in the early chapter of this blog, businesses manipulate their data with SQL to arrive at insights that are critical in their decision-making strategies.

SQL encompasses various components such as:

  • DDL (Data Definition Language): This deals with database schemas and structures. Commands include CREATE, ALTER, and DROP.
  • DML (Data Manipulation Language): DML is used for data management. The commands include SELECT, INSERT, UPDATE, and DELETE.
  • DCL (Data Control Language): DCL manages user permissions. The commands include GRANT and REVOKE.

Why SQL?

As the standard language for relational database management, SQL offers many advantages including, but not limited to:

  • Flexibility: SQL can handle structured and, to some extent, semi-structured data, making it versatile for various types of queries.
  • Security: Typically, SQL databases offer strong security features, including access controls, encryption, etc. The same can be said about NoSQL databases though. NoSQL databases do indeed offer security features, but they may approach security differently or provide unique capabilities that are not typically associated with traditional relational database management systems (RDBMS).
  • Portability: Structured Query Language can be used across different database systems and platforms. This creates an environment for the compatibility and movability of database scripts.

In the next chapter, we’ll learn how SQL and DBMSs work together.

How DBMSs and SQL Work Together

SQL (Structured Query Language) and DBMSs (Database Management Systems) work in tandem to provide an effective environment for data storage, retrieval, and management. Here's how they work together:

How SQL + DBMSs Work
How SQL + DBMSs Work

SQL is the way you interact with the database management system. It is used to retrieve, insert, update, or delete data (CRUD operations), among other things.

When you execute a SQL command, the DBMS figures out the most efficient way to execute that command. The interpretation of the task to be performed is determined by the SQL engine.

The classic query engine handles all general database queries but does not handle any logical files. This means that the query engine doesn't interact directly with these logical structures. Instead, other components or engines might handle that.

The query processor interprets the queries of the user and translates them into a database-understandable format.

In query processing, the parser is used for translation purposes. It also checks the syntax of the query and looks for errors, if present.

The optimization engine optimizes the performance of the database with the help of insights.

The DBMS engine is the underlying software component for performing CRUD operations on the database.

The DBMS file directory is used for managing the files in the database, one at a time.

The transaction manager manages the transactions to maintain concurrency while accessing data.

Outro

This blog has successfully educated us on an introduction to SQL (Structured Query Language), what relational database management systems(RDBMSs) are, and how the two work together.

In the next blog, we’ll look at how to write basic SQL queries using a complete and powerful SQL client like DbVisualizer with advanced features and support for a wide range of database management systems. Do not hesitate to try it out. See you in the next blog!

FAQs

What is SQL and why is it important?

SQL is the standard language used to interact with and manage relational databases. In an RDBMS, SQL allows users to create, retrieve, update, and delete data. This ensures an efficient and structured data management.

How do relational databases differ from nonrelational databases?

Relational databases organize data into structured tables with rows and columns, emphasizing relationships between tables using keys. In NoSQL databases, data is stored using document-based, key-value, or graph structures.

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About the author
Leslie S. Gyamfi.
Leslie S. Gyamfi
Leslie Gyamfi is a mobile/web app developer with a passion for creating innovative solutions. He is dedicated to delivering high-quality products and technical articles. You can connect with him on LinkedIn
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