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What is Transaction Management in Oracle?
Transaction Management in Oracle
A transaction in a database system is a logical unit of work. It is a series of one or more SQL...
What is a DML in Oracle? & What are the two DML Statements?
DML in Oracle
Fundamental commands for accessing and modifying data within pre-existing database objects, like tables, are Data Manipulation Language (DML) statements. In contrast to...
Can We Create a Synonym for View in Oracle?
Synonym for View in Oracle
Yes, you can certainly create a synonym for a view in Oracle Database.
A synonym acts as an alternative name or...
How to add Constraints in Oracle? Explained With Code
Constraints in Oracle
In order to enforce business rules and preserve the accuracy and consistency of data, constraints are an essential component of database management...
What is the DDL Command in Oracle? With Examples
DDL Command in Oracle
Database administrators use DDL, a subset of SQL, to define, edit, and destroy database object structures. DDL provides the architectural design...
How to use Analytical Function in WHERE Clause in Oracle?
Analytical Function in Oracle
The capabilities of standard aggregate functions are expanded by analytical functions, a potent feature in SQL that computes aggregate values over...
What is Conditional Logic in SQL? Explained With Code
Conditional Logic in SQL
Like "if-then-else" structures in other programming languages, conditional logic in SQL lets you do different things or return different answers depending...
Can I use Set Operators on different tables?
Set Operators in Oracle
The results of two or more SELECT queries can be combined into a single result set in Oracle SQL using the...
What are the Different types of Subqueries in Oracle?
Subqueries in Oracle
A subquery is a SELECT statement that is included inside another SQL statement. It is sometimes referred to as an inner query...
What is Grouping in Oracle SQL? With Examples
Grouping in Oracle
Rows with the same values in designated columns can be grouped into summary rows using the GROUP BY clause. This is especially...
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