Category: Database Concepts

Understanding Serverless Databases: Classic Serverless vs Neo-Serverless

Posted on by Ian

The term “serverless database” has gained popularity with the rise of cloud computing and on-demand services, but it has a dual meaning depending on context.

In particular, databases can be “serverless” in either the traditional, client-side manner (e.g., SQLite’s model) or the cloud-native way often associated with managed databases.

This article explores these two approaches to serverless databases—classic serverless and neo-serverless—along with contrasting examples from other database models like client/server architectures.

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Column Constraints vs Table Constraints in SQL: What’s the Difference?

Posted on by Ian

In relational database management systems (RDBMSs), constraints are nifty tools that we can use to ensure the integrity, accuracy, and reliability of the data stored in our database.

Constraints can enforce rules at the column and table levels, guiding how data can be inserted, updated, or deleted. Whether you’re defining the uniqueness of a value, establishing relationships between tables, or ensuring that critical fields are never left blank, constraints play an important role in the design of relational databases.

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Understanding the Different Types of Keys in SQL

Posted on by Ian

Probably the most widely known key type in SQL is the primary key, which is chosen to uniquely identify each row in a table. Perhaps next is the foreign key, which is used to establish a relationship between tables.

But there are more key types than this, and the differences between them can be subtle, but important. Here we’ll look at nine of the various key types in SQL.

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Understanding SQL Data Types: A Comprehensive Guide

Posted on by Ian

Structured Query Language (SQL) is the backbone of relational database management systems (RDBMSs), enabling users to query, manipulate, and define data. One of the most fundamental concepts in SQL, and one that all SQL developers should understand, is the data type.

Whenever we create a column in SQL, we must define its data type. Similarly, when we create a variable, we define its data type.

So, why is the data type so important? Let’s find out.

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What is a Junction Table in SQL?

Posted on by Ian

A junction table, also known as an associative table or a bridge table, is a table used to manage many-to-many relationships between two other tables in a relational database.

In SQL, many-to-many relationships cannot be directly implemented using just two tables because each table’s foreign key can only relate to one other table’s primary key. Instead, a junction table is created to “link” the two tables together.

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Ensuring Data Reliability: The Role of Physical Integrity in Database Management

Posted on by Ian

Maintaining the reliability, accuracy, and consistency of data is paramount when dealing with databases. One important factor that plays a huge role in ensuring these qualities is the concept of physical integrity.

While much attention is given to logical integrity—ensuring the data follows the rules of the schema and maintains meaningful relationships—physical integrity is equally important. It deals with the actual storage of data and the correct functioning of the hardware and software systems that store and manage this data.

This article delves into what physical integrity is in the context of database management, why it is important, how it can be compromised, as well as best practices for maintaining it.

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What is an ER Diagram?

Posted on by Ian

An entity relationship (ER) diagram (also known as an ERD for Entity-Relationship Diagram) is a visual representation of the relationships between entities within a system. ER Diagrams are often used when designing relational databases. An ERD serves as a blueprint for designing a database by depicting entities, their attributes, and the relationships between them.

ER diagrams help in conceptualizing the structure of a database and serve as a communication tool between database designers, developers, and stakeholders.

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What Does Deterministic Mean in SQL?

Posted on by Ian

In SQL, a deterministic expression or function always returns the same result when given the same input. Conversely, a nondeterministic expression or function may return different results even with the same input due to factors like system time, randomization, or external data changes.

Below is a quick overview of the differences between deterministic and nondeterministic functions/expressions.

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How SQL Constraints Work: A Beginner’s Overview

Posted on by Ian

Constraints are an important concept in relational database management systems (RDBMSs). Whenever we design a database, we need to ensure that it will be able to enforce data integrity, by checking or restricting what the user can enter to only data that conforms to the rules of the database. That’s where a constraint can help.

This article explores what SQL constraints are, the various types available, their importance, and how they are implemented.

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