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25 Hours
Self-paced Training (pre-recorded videos)
USD 17 (USD 140)
Save 88% Offer ends on 31-Dec-2023
SQL course and certification
257 Learners

About this Course

SQL is structured query language and is used to communicate with the database. It is a computer language designed for retrieval and management of data in a relational database. SQL is one of the most widely used query language as it allows user to access data in RDMS, describe, define and manipulate data and much more.

SQL is popular in IT system for its ubiquity. The standard SQL command like "SELECT", "INSERT", "UPDATE", "DELETE" help administrators to route the data in and out of a database table. SQL is the best when you want high performance, high availability, scalability, robust transactional support, strong data protection and 24*7 supports.

In this SQL course by Uplatz, you will be able to learn the basics and introduction to SQL, advanced SQL tables, functions, operators & queries, table creation, data retrieval from tables, SQL subqueries, their rules; statements and operators with which subqueries can be used along with that you will also have an in-depth understanding of SQL Server Management Studio, using pivot in MS Excel and MS SQL Server and much more.



Course Details & Curriculum

Introduction to SQL

Various types of databases, introduction to Structured Query Language, distinction between client server and file server databases, understanding SQL Server Management Studio, SQL Table basics, data types and functions, Transaction-SQL, authentication for Windows, data control language, and the identification of the keywords in T-SQL, such as Drop Table.

Database Normalization and Entity Relationship Model

Data Anomalies, Update Anomalies, Insertion Anomalies, Deletion Anomalies, Types of Dependencies, Functional Dependency, Fully functional dependency, Partial functional dependency, Transitive functional dependency, Multi-valued functional dependency, Decomposition of tables, Lossy decomposition, Lossless decomposition, What is Normalization?, First Normal Form, Second Normal Form, Third Normal Form, Boyce-Codd Normal Form(BCNF), Fourth Normal Form, Entity-Relationship Model, Entity and Entity Set, Attributes and types of Attributes, Entity Sets, Relationship Sets, Degree of Relationship, Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many, Symbols used in E-R Notation.

SQL Operators

Introduction to relational databases, fundamental concepts of relational rows, tables, and columns; several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys, understanding group functions, the unique key, etc.

Working with SQL: Join, Tables, and Variables

Advanced concepts of SQL tables, SQL functions, operators & queries, table creation, data retrieval from tables, combining rows from tables using inner, outer, cross, and self joins, deploying operators such as ‘intersect,’ ‘except,’ ‘union,’ temporary table creation, set operator rules, table variables, etc.

Deep Dive into SQL Functions

Understanding SQL functions – what do they do?, scalar functions, aggregate functions, functions that can be used on different datasets, such as numbers, characters, strings, and dates, inline SQL functions, general functions, and duplicate functions.

Working with Subqueries

Understanding SQL subqueries, their rules; statements and operators with which subqueries can be used, using the set clause to modify subqueries, understanding different types of subqueries, such as where, select, insert, update, delete, etc., and methods to create and view subqueries.

SQL Views, Functions, and Stored Procedures

Learning SQL views, methods of creating, using, altering, renaming, dropping, and modifying views; understanding stored procedures and their key benefits, working with stored procedures, studying user-defined functions, and error handling.

Deep Dive into User-defined Functions

User-defined functions; types of UDFs, such as scalar, inline table value, multi-statement table, stored procedures and when to deploy them, what is rank function?, triggers, and when to execute triggers?

SQL Optimization and Performance

SQL Server Management Studio, using pivot in MS Excel and MS SQL Server, differentiating between Char, Varchar, and NVarchar, XL path, indexes and their creation, records grouping, advantages, searching, sorting, modifying data; clustered indexes creation, use of indexes to cover queries, common table expressions, and index guidelines.

Managing Data with Transact-SQL

Creating Transact-SQL queries, querying multiple tables using joins, implementing functions and aggregating data, modifying data, determining the results of DDL statements on supplied tables and data, and constructing DML statements using the output statement.

Querying Data with Advanced Transact-SQL Components

Querying data using subqueries and APPLY, querying data using table expressions, grouping and pivoting data using queries, querying temporal data and non-relational data, constructing recursive table expressions to meet business requirements, and using windowing functions to group and rank the results of a query.

Programming Databases Using Transact-SQL

Creating database programmability objects by using T-SQL, implementing error handling and transactions, implementing transaction control in conjunction with error handling in stored procedures, and implementing data types and NULL.

Designing and Implementing Database Objects

Designing and implementing relational database schema; designing and implementing indexes, learning to compare between indexed and included columns, implementing clustered index, and designing and deploying views and column store views.

Implementing Programmability Objects

Explaining foreign key constraints, using T-SQL statements, usage of Data Manipulation Language (DML), designing the components of stored procedures, implementing input and output parameters, applying error handling, executing control logic in stored procedures, and designing trigger logic, DDL triggers, etc.

Managing Database Concurrency

Applying transactions, using the transaction behavior to identify DML statements, learning about implicit and explicit transactions, isolation levels management, understanding concurrency and locking behavior, and using memory-optimized tables.

Optimizing Database Objects

Accuracy of statistics, formulating statistics maintenance tasks, dynamic management objects management, identifying missing indexes, examining and troubleshooting query plans, consolidating the overlapping indexes, the performance management of database instances, and SQL server performance monitoring.

Advanced Topics

Corelated Subquery, Grouping Sets, Rollup, Cube

Hands-on Exercise


Implementing Corelated Subqueries, Using EXISTS with a Correlated subquery, Using Union Query, Using Grouping Set Query, Using Rollup, Using CUBE to generate four grouping sets, Perform a partial CUBE.


Job Prospects


SQL Interview Questions



Q1. What is the difference between SQL and MySQL?




SQL is a standard language which stands for Structured Query Language based on the English language

MySQL is a database management system.

SQL is the core of the relational database which is used for accessing and managing database

MySQL is an RDMS (Relational Database Management System) such as SQL Server, Informix etc.


Q2. What are the different subsets of SQL?

• DDL (Data Definition Language) – It allows you to perform various operations on the database such as CREATE, ALTER and DELETE objects.

• DML ( Data Manipulation Language) – It allows you to access and manipulate data. It helps you to insert, update, delete and retrieve data from the database.

• DCL ( Data Control Language) – It allows you to control access to the database. Example – Grant, Revoke access permissions.


Q3. What do you mean by DBMS? What are its different types?

 A database is a structured collection of data.

A Database Management System (DBMS) is a  software application that interacts with the user, applications and the database itself to capture and analyze data.

A DBMS allows a user to interact with the database. The data stored in the database can be modified, retrieved and deleted and can be of any type like strings, numbers, images etc.

There are two types of DBMS:

• Relational Database Management System: The data is stored in relations (tables). Example – MySQL.

• Non-Relational Database Management System: There is no concept of relations, tuples and attributes.  Example – Mongo


Q4. What do you mean by table and field in SQL?

A table refers to a collection of data in an organised manner in form of rows and columns. A field refers to the number of columns in a table. For example:


Field: Stu Id, Stu Name, Stu Marks


Q5. What are joins in SQL?

A JOIN clause is used to combine rows from two or more tables, based on a related column between them. It is used to merge two tables or retrieve data from there. There are 4 joins in SQL namely:

• Inner Join

• Right Join

• Left Join

• Full Join


Q6. What is the difference between CHAR and VARCHAR2 datatype inSQL?

Both Char and Varchar2 are used for characters datatype but varchar2 is used for character strings of variable length whereas Char is used for strings of fixed length. For example, char(10) can only store 10 characters and will not be able to store a string of any other length whereas varchar2(10) can store any length i.e 6,8,2 in this variable.


Q7. What is a Primary key?

• A Primary key is a column (or collection of columns) or a set of columns that uniquely identifies each row in the table.

• Uniquely identifies a single row in the table

• Null values not allowed

Example - In the Student table, Stu_ID is the primary key.


Q8. What are Constraints?

Constraints are used to specify the limit on the data type of the table. It can be specified while creating or altering the table statement. The sample of constraints are:








Q9. What is the difference between DELETE and TRUNCATE statements?




Delete command is used to delete a row in a table.

Truncate is used to delete all the rows from a table.

You can rollback data after using delete statement.

You cannot rollback data.

It is a DML command.

It is a DDL command.

It is slower than truncate statement.

It is faster.


Q10. What is a Unique key?

• Uniquely identifies a single row in the table.

• Multiple values allowed per table.

• Null values allowed.


Q11. What is a Foreign key?

• Foreign key maintains referential integrity by enforcing a link between the data in two tables.

• The foreign key in the child table references the primary key in the parent table.

• The foreign key constraint prevents actions that would destroy links between the child and parent tables.


Q12. What do you mean by data integrity? 

Data Integrity defines the accuracy as well as the consistency of the data stored in a database. It also defines integrity constraints to enforce business rules on the data when it is entered into an application or a database.


Q13. What is the difference between clustered and non clustered index in SQL?

The differences between the clustered and non clustered index in SQL are :

1. Clustered index is used for easy retrieval of data from the database and its faster whereas reading from non clustered index is relatively slower.

2. Clustered index alters the way records are stored in a database as it sorts out rows by the column which is set to be clustered index whereas in a non clustered index, it does not alter the way it was stored but it creates a separate object within a table which points back to the original table rows after searching.

3. One table can only have one clustered index whereas it can have many non clustered index.


Q14. Write a SQL query to display the current date?

In SQL, there is a built-in function called GetDate() which helps to return the current timestamp/date.

Q15. List the different type of joins?

There are various types of joins which are used to retrieve data between the tables. There are four types of joins, namely:

Inner join: Inner Join in MySQL is the most common type of join. It is used to return all the rows from multiple tables where the join condition is satisfied. 

Left Join:  Left Join in MySQL is used to return all the rows from the left table but only the matching rows from the right table where the join condition is fulfilled.

Right Join: Right Join in MySQL is used to return all the rows from the right table but only the matching rows from the left table where the join condition is fulfilled.

Full Join: Full join returns all the records when there is a match in any of the tables. Therefore, it returns all the rows from the left-hand side table and all the rows from the right-hand side table.


Q16. What do you mean by Denormalization?

Denormalization refers to a technique which is used to access data from higher to lower forms of

a database. It helps the database managers to increase the performance of the entire infrastructure as it introduces redundancy into a table. It adds the redundant data into a table by incorporating database queries that combine data from various tables into a single table.


Q17. What are Entities and Relationships?

Entities:  A person, place, or thing in the real world about which data can be stored in a database. Tables store data that represents one type of entity. For example – A bank database has a customer table to store customer information. Customer table stores this information as a set of attributes (columns within the table) for each customer.

Relationships: Relation or links between entities that have something to do with each other. For example – The customer name is related to the customer account number and contact information, which might be in the same table. There can also be relationships between separate tables (for example, customer to accounts).


Q18. What is an Index?

An index refers to a performance tuning method of allowing faster retrieval of records from the table. An index creates an entry for each value and hence it will be faster to retrieve data.


Q19. Explain different types of index.

There are three types of index namely:

Unique Index:

This index does not allow the field to have duplicate values if the column is unique indexed. If a primary key is defined, a unique index can be applied automatically.

Clustered Index:

This index reorders the physical order of the table and searches based on the basis of key values. Each table can only have one clustered index.

Non-Clustered Index:

Non-Clustered Index does not alter the physical order of the table and maintains a logical order of the data. Each table can have many nonclustered indexes.


Q20. What is Normalization and what are the advantages of it?

Normalization is the process of organizing data to avoid duplication and redundancy. Some of the advantages are:

• Better Database organization

• More Tables with smaller rows

• Efficient data access

• Greater Flexibility for Queries

• Quickly find the information

• Easier to implement Security

• Allows easy modification

• Reduction of redundant and duplicate data

• More Compact Database

• Ensure Consistent data after modification


Q21. What is the difference between DROP and TRUNCATE commands?

DROP command removes a table and it cannot be rolled back from the database whereas TRUNCATE command removes all the rows from the table.


Q22. Explain different types of Normalization.

There are many successive levels of normalization. These are called normal forms. Each consecutive normal form depends on the previous one.The first three normal forms are usually adequate.

• First Normal Form (1NF) – No repeating groups within rows

• Second Normal Form (2NF) – Every non-key (supporting) column value is dependent on the whole primary key.

• Third Normal Form (3NF) – Dependent solely on the primary key and no other non-key (supporting) column value.


Q23. What is ACID property in a database?

ACID stands for Atomicity, Consistency, Isolation, Durability. It is used to ensure that the data transactions are processed reliably in a database system. 

Atomicity: Atomicity refers to the transactions that are completely done or failed where transaction refers to a single logical operation of a data. It means if one part of any transaction fails, the entire transaction fails and the database state is left unchanged.

Consistency: Consistency ensures that the data must meet all the validation rules. In simple words,  you can say that your transaction never leaves the database without completing its state.

Isolation: The main goal of isolation is concurrency control.

Durability: Durability means that if a transaction has been committed, it will occur whatever may come in between such as power loss, crash or any sort of error.


Q24. What do you mean by “Trigger” in SQL?

Trigger in SQL is are a special type of stored procedures that are defined to execute automatically in place or after data modifications. It allows you to execute a batch of code when an insert, update or any other query is executed against a specific table.


Q25. What are the different operators available in SQL?

There are three operators available in SQL, namely:

1. Arithmetic Operators

2. Logical Operators

3. Comparison Operators


Q26.  Are NULL values same as that of zero or a blank space? 

A NULL value is not at all same as that of zero or a blank space. NULL value represents a value which is unavailable, unknown, assigned or not applicable whereas a zero is a number and blank space is a character.


Q27. What is the difference between cross join and natural join?

The cross join produces the cross product or Cartesian product of two tables whereas the natural join is based on all the columns having the same name and data types in both the tables.


Q28. What is subquery in SQL?

A subquery is a query inside another query where a query is defined to retrieve data or information back from the database. In a subquery, the outer query is called as the main query whereas the inner query is called subquery. Subqueries are always executed first and the result of the subquery is passed on to the main query. It can be nested inside a SELECT, UPDATE or any other query. A subquery can also use any comparison operators such as >,< or =


Q29. What are the different types of a subquery?

There are two types of subquery namely, Correlated and Non-Correlated.

Correlated subquery: These are queries which select the data from a table referenced in the outer query. It is not considered as an independent query as it refers to another table and refers the column in a table.

Non-Correlated subquery: This query is an independent query where the output of subquery is substituted in the main query.


Q30. List the ways to get the count of records in a table?

To count the number of records in a table, you can use the below commands:

SELECT * FROM table1


SELECT rows FROM sysindexes WHERE id = OBJECT_ID(table1) AND indid < 2


Q31. Write a SQL query to find the names of employees that begin with ‘A’?

To display name of the employees that begin with ‘A’, type in the below command:

SELECT * FROM Table_name WHERE EmpName like 'A%'


Q32. Write a SQL query to get the third highest salary of an employee from employee_table?

SELECT TOP 1 salary


SELECT TOP 3 salary

FROM employee_table

ORDER BY salary DESC) AS emp

ORDER BY salary ASC;


Q33. What is the need for group functions in SQL? 

Group functions work on the set of rows and returns one result per group. Some of the commonly used group functions are: AVG, COUNT, MAX, MIN, SUM, VARIANCE.


Q34 . What is a Relationship and what are they?

Relation or links are between entities that have something to do with each other. Relationships are defined as the connection between the tables in a database. There are various relationships, namely:

• One to One Relationship

• One to Many Relationship

• Many to One Relationship

• Self-Referencing Relationship


Q35.  How can you insert NULL values in a column while inserting the data?

NULL values can be inserted in the following ways:

• Implicitly by omitting column from column list.

• Explicitly by specifying NULL keyword in the VALUES clause


Q36. What is the main difference between ‘BETWEEN’ and ‘IN’ condition operators?

BETWEEN operator is used to display rows based on a range of values in a row whereas the IN condition operator is used to check for values contained in a specific set of values.

Example of BETWEEN:

SELECT * FROM Students where ROLL_NO BETWEEN 10 AND 50;

Example of IN:

SELECT * FROM students where ROLL_NO IN (8,15,25);


Q37. Why are SQL functions used?

SQL functions are used for the following purposes:

• To perform some calculations on the data

• To modify individual data items

• To manipulate the output

• To format dates and numbers

• To convert the data types


Q38. What is the need of MERGE statement?

This statement allows conditional update or insertion of data into a table. It performs an UPDATE if a row exists, or an INSERT if the row does not exist.


Q39. What do you mean by recursive stored procedure?

Recursive stored procedure refers to a stored procedure which calls by itself until it reaches some boundary condition. This recursive function or procedure helps the programmers to use the same set of code n number of times.


Q40. What is CLAUSE in SQL?

SQL clause helps to limit the result set by providing a condition to the query. A clause helps to filter the rows from the entire set of records.

For example – WHERE, HAVING clause.


Q41. What is the difference between ‘HAVING’ CLAUSE and a ‘WHERE’ CLAUSE?

HAVING clause can be used only with SELECT statement. It is usually used in a GROUP BY clause and whenever GROUP BY is not used, HAVING behaves like a WHERE clause.

Having Clause is only used with the GROUP BY function in a query whereas WHERE Clause is applied to each row before they are a part of the GROUP BY function in a query.


Q42. List the ways in which Dynamic SQL can be executed?

Following are the ways in which dynamic SQL can be executed:

• Write a query with parameters

• Using EXEC

• Using sp_executesql


Q43. What are the various levels of constraints?

Constraints are the representation of a column to enforce data entity and consistency. There are two levels  of a constraint, namely:

• column level constraint

• table.level.constraint


Q44. How can you fetch common records from two tables?

You can fetch common records from two tables using INTERSECT. For example:

Select studentID from student. <strong>INTERSECT </strong> Select StudentID from Exam


Q45. List some case manipulation functions in SQL?

There are three case manipulation functions in SQL, namely:

• LOWER: This function returns the string in lowercase. It takes a string as an argument and returns it by converting it into lower case. Syntax:


• UPPER: This function returns the string in uppercase. It takes a string as an argument and returns it by converting it into uppercase. Syntax:


• INITCAP: This function returns the string with the first letter in uppercase and rest of the letters in lowercase. Syntax:



Q46. What are the different set operators available in SQL?

Some of the available set operators are – Union, Intersect or Minus operators.


Q47. What is an ALIAS command?

ALIAS name can be given to any table or a column. This alias name can be referred in WHERE clause to identify a particular table or a column.

For example -

Select emp.empID, dept.Result from employee emp, department as dept where emp.empID=dept.empID

In the above example, emp refers to alias name for employee table and dept refers to alias name for department table.


Q48. What are aggregate and scalar functions?

Aggregate functions are used to evaluate mathematical calculation and returns a single value. These calculations are done from the columns in a table. For example- max(),count() are calculated with respect to numeric.

Scalar functions return a single value based on the input value. For example – UCASE(), NOW() are calculated with respect to string.


Q49. How can you fetch alternate records from a table?

You can fetch alternate records i.e both odd and even row numbers. For example- To display even numbers, use the following command:

Select studentId from (Select rowno, studentId from student) where mod(rowno,2)=0

Now, to display odd numbers:

Select studentId from (Select rowno, studentId from student) where mod(rowno,2)=1


Q50. Name the operator which is used in the query for pattern matching?

LIKE operator is used for pattern matching, and it can be used as -.

% – It matches zero or more characters.

For example- select * from students where studentname like ‘a%’

_ (Underscore) – it matches exactly one character.

For example- select * from student where studentname like ‘abc_’


Q51. How can you select unique records from a table?

You can select unique records from a table by using the DISTINCT keyword.

Select DISTINCT studentID from Student

Using this command, it will print unique student id from the table Student. 


Q52. How can you fetch first 5 characters of the string?

There are a lot of ways to fetch characters from a string. For example:

Select SUBSTRING(StudentName,1,5) as studentname from student


Q53. What is the main difference between SQL and PL/SQL?

SQL is a query language that allows you to issue a single query or execute a single insert/update/delete whereas PL/SQL is Oracle’s “Procedural Language” SQL, which allows you to write a full program (loops, variables, etc.) to accomplish multiple operations such as selects/inserts/updates/deletes.


Q54. What is a View?

A view is a virtual table which consists of a subset of data contained in a table. Since views are not present, it takes less space to store. View can have data of one or more tables combined and it depends on the relationship.


Q55. What are Views used for?

A view refers to a logical snapshot based on a table or another view. It is used for the following reasons:

• Restricting access to data

• Making complex queries simple

• Ensuring data independence

• Providing different views of same data


Q56. What is a Stored Procedure?

A Stored Procedure is a function which consists of many SQL statements to access the database system. Several SQL statements are consolidated into a stored procedure and execute them whenever and wherever required which saves time and avoid writing code again and again.


Q57. List some advantages and disadvantages of Stored Procedure?


A Stored Procedure can be used as a modular programming which means create once, store and call for several times whenever it is required. This supports faster execution. It also reduces network traffic and provides better security to the data.


The only disadvantage of Stored Procedure is that it can be executed only in the database and utilizes more memory in the database server.


Q58. List all the types of user-defined functions?

There are three types of user-defined functions, namely:

• Scalar Functions

• Inline Table-valued functions

• Multi-statement valued functions

Scalar returns the unit, variant defined the return clause. Other two types of defined functions return table.


Q59. What do you mean by Collation?

Collation is defined as a set of rules that determine how data can be sorted as well as compared. Character data is sorted using the rules that define the correct character sequence along with options for specifying case-sensitivity, character width etc.


Q60. What are the different types of Collation Sensitivity?

Following are the different types of collation sensitivity:

• Case Sensitivity: A and a and B and b.

• Kana Sensitivity: Japanese Kana characters.

• Width Sensitivity: Single byte character and double-byte character.

• Accent Sensitivity.


Q61. What are Local and Global variables?

Local variables:

These variables can be used or exist only inside the function. These variables are not used or referred by any other function.

Global variables:

These variables are the variables which can be accessed throughout the program. Global variables cannot be created whenever that function is called.


Q62. What is Auto Increment in SQL?

Auto increment keyword allows the user to create a unique number to get generated whenever a new record is inserted into the table.

This keyword is usually required whenever PRIMARY KEY is used.

AUTO INCREMENT keyword can be used in Oracle and IDENTITY keyword can be used in SQL SERVER.


Q63. What is a Datawarehouse?

Datawarehouse refers to a central repository of data where the data is assembled from multiple sources of information. Those data are consolidated, transformed and made available for the mining as well as online processing. Warehouse data also have a subset of data called Data Marts.


Q64. What are the different authentication modes in SQL Server? How can it be changed?

Windows mode and Mixed Mode – SQL and Windows. You can go to the below steps to change authentication mode in SQL Server:

• Click Start> Programs> Microsoft SQL Server and click SQL Enterprise Manager to run SQL Enterprise Manager from the Microsoft SQL Server program group.

• Then select the server from the Tools menu.

• Select SQL Server Configuration Properties, and choose the Security page.


Q65. What are STUFF and REPLACE function?

STUFF Function: This function is used to overwrite existing character or inserts a string into another string. Syntax:

STUFF(string_expression,start, length, replacement_characters)


string_expression: it is the string that will have characters substituted

start: This refers to the starting position

length: It refers to the number of characters in the string which are substituted.

replacement_string: They are the new characters which are injected in the string. 

REPLACE function: This function is used to replace the existing characters of all the occurrences. Syntax:

REPLACE (string_expression, search_string, replacement_string)

Here every search_string in the string_expression will be replaced with the replacement_string.



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