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14.1 Introduction to Data Manipulation Language (DML)
Overview of DML and its role in database management
Importance of DML in manipulating and retrieving data from databases
Comparison between DML and other SQL languages (DDL, DCL)
14.2 SELECT Statement
Retrieving data from a single table using SELECT
Specifying columns in the SELECT clause
Filtering data using the WHERE clause
14.3 Joins
Performing inner joins between tables
Using aliases for table names
Performing outer joins (LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN)
14.4 Subqueries
Writing subqueries within SELECT, FROM, WHERE, and HAVING clauses
Correlated vs. non-correlated subqueries
Using subqueries for filtering and aggregation
14.5 Set Operations
Combining query results with UNION, INTERSECT, and EXCEPT
Understanding set operations and their usage
14.6 INSERT Statement
Inserting data into a table using INSERT INTO
Inserting data from another table with SELECT INTO
14.7 UPDATE Statement
Updating existing records in a table with UPDATE
Specifying conditions for updating records with the WHERE clause
14.8 DELETE Statement
Deleting records from a table using DELETE FROM
Specifying conditions for deleting records with the WHERE clause
14.9 Transactions and Transaction Control
Introduction to transactions in database management
Committing and rolling back transactions
Setting transaction isolation levels
14.10 Data Manipulation with Views
Updating data through views using the WITH CHECK OPTION clause
Inserting and deleting data through views
14.11 Data Manipulation Best Practices and Performance
Best practices for efficient data manipulation
Optimizing DML statements for performance
Using indexes and query optimization techniques
14.12 Advanced DML Techniques
Using MERGE statement for performing insert, update, and delete operations in a single statement
Using the OUTPUT clause to return information about affected rows
Using Common Table Expressions (CTEs) for complex data manipulation
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15. Data Query Language (DQL) Next SQLServer Tutorial »