In this SQL tutorial, we will learn the basics and advanced concepts of SQL SERVER, such as how to use the SQL language to create, store, retrieve and manipulate data in the SQL server database.
CTE in SQL simplifies complex queries to make code more readable and provides a structured way to work with temporary result sets.
In this article, we will explore what CTE is, its syntax, examples, why we need it, its types, advantages, and disadvantages of Common Table Expression (CTE), and how to use it in SQL Server.
SQL foreign key is a field in a table that points to the primary key of another table. It links two tables together and creates a relationship between them based on the common fields.
If you are new to SQL Server, you might wonder what an index is and why it’s important. Indexes are crucial for improving query performance and are essential for efficient data retrieval.
In this article, we will discuss the differences between clustered and non-clustered indexes in SQL Server.
Database normalization is a technique used to organize data in a relational database. It involves breaking down a large table into smaller tables and defining relationships between them. The normalization goal is to eliminate redundant data and ensure that each piece of information is stored in only one place.
Relational databases are the backbone of many software systems. They allow us to store, manage, and retrieve data in an organized and efficient way. However, as the size and complexity of our data grow, so do the challenges of maintaining its integrity and consistency. This is where database normalization comes in.
Customer relationship management (CRM) is a important aspect of running a successful business, and a CRM database is one of the most important tools for achieving that success.
As businesses grow, the volume of data they need to manage will also grow. With customers interacting with businesses through multiple channels, keeping track of all the information can be challenging. This is where a CRM database comes into play.
A CRM database is a software that helps companies manage customer data by collecting, storing, and analyzing information from various sources, such as social media, website interactions, and customer service interactions.
SQL (Structured Query Language) is the standard language for managing relational databases. It is a powerful tool that allows us to store, manipulate, and retrieve data efficiently. One of the most commonly used operations in SQL is the JOIN operation, which allows us to combine data from two or more tables into a single result set.
The INNER JOIN clause is one of the most frequently used types of JOIN in SQL. It combines rows from two or more tables based on a related column between them. The INNER JOIN returns only the rows that have matching values in both tables, i.e., the intersection of the two tables.
The following picture illustrates the Venn diagram of INNER JOIN. The shaded area in the diagram represents the common values shared between the two tables.
The SQL UPDATE statement is a powerful command that allows you to modify the existing data in a SQL Server table.
This post will cover everything you need to know about the SQL UPDATE statement, including its syntax, parameters, and examples.
SQL Exists is a conditional operator that checks the existence of rows in a subquery. It returns true if the subquery returns at least one row and false if it returns no rows.
SQL Exists is often used in conjunction with other conditional operators such as WHERE, HAVING, and SELECT.
In this article, we will explore the basics of SQL Exists and show you how to use it in your queries. We will also use some examples and best practices for working with SQL Exists.
The LIKE operator in SQL is used to filter data based on a specified pattern. The pattern can be a string of characters that contain wildcards.
The LIKE operator returns all rows where the selected pattern matches a portion of the data in the column.
In this article, we will discuss the LIKE operator in SQL, its syntax, parameters, and examples of how to use it in SQL Server.
In SQL, the COALESCE function is used to handle the Null values. It returns the first non-null value among a list of expressions. It’s beneficial when you want to replace the null value with a user-defined value or the first available value from a set of columns or expressions.
As a SQL Server developer, you may encounter situations where you must convert data types from one form to another. The SQL Server CONVERT function can help you achieve this task by changing the data type of an expression to another data type.
This article will cover everything you need to know about the SQL Server CONVERT function. I’ll explain the function and how to use it and provide code examples in SQL Server. We’ll also compare the CONVERT function to similar functions in SQL Server, like CAST, FORMAT, and PARSE.
If you’re working with SQL Server, you may have come across the concept of stored procedures. A stored procedure is a precompiled set of SQL statements that we can save in the database for later use. Once it is created, we can execute it multiple times without recompiling the code.
This article aims to cover everything you need to know about stored procedures in SQL Server, including benefits, creation, modification, and exception handling.
TRY CAST function in SQL belongs to the Conversions category of functions and resembles the CAST() function. Its purpose is to transform an expression from one data type to another. If successful, the result will be the expression in the expected data type, but if it fails, the function will return null.
This blog post will dive into the TRY_CAST() function in SQL Server, its syntax, and how it differs from the CAST() function. We will use a few code examples to make it easy to implement this function in our SQL Server database.
This article will delve into the TRY…CATCH statement in SQL Server and its usage for error handling.
Additionally, we’ll examine how the try-catch statement in SQL Server can be used to manage errors and present more informative error messages to the end-users.
Grouping data by different time periods such as days, weeks, and months is one of the most important concepts in SQL. In this article, we will look at how to group data by month in SQL Server using examples.
Duplicate data can cause a number of issues when working with SQL Server tables. Not only does it take up unnecessary space, but it can also lead to confusion and errors in reporting. In this blog post, we will explore several different ways to delete duplicate rows in SQL Server.
When comparing UNION with UNION ALL, there is a significant difference:
In this article, we will look at the differences between UNION and UNION ALL in SQL with multiple examples.
What is the Difference between Delete, Truncate, and Drop command?
The “DELETE” command removes one or more records from a table in the database, and the “TRUNCATE” command removes all rows from a table, but Still, it keeps the table structure, and the “DROP” command completely removes the entire table from the database.
What is the difference between the HAVING and WHERE clause? This is one of the most frequently asked questions in interviews, particularly among freshers.
The main difference between the WHERE and HAVING clauses in SQL is that the WHERE clause filters individual rows before grouping, while the HAVING clause filters groups of rows after grouping based on aggregate conditions such as MIN, MAX, SUM, AVG, COUNT, and so on.
In simple terms, WHERE is for filtering rows, and HAVING is for filtering groups.
Additionally, it is important to note that aggregate functions can be used with the HAVING clause but not with the WHERE clause.
Let’s first understand what these clauses are used for in SQL.
SQL pivot tables are a powerful and convenient way to summarize and analyze large data or records. They allow you to rearrange rows and columns in a dataset, group data together, and perform calculations on the grouped data.
In this article, We will try to learn what pivot tables are and how to use them in SQL.
