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Course Outline:
 

DDL (Data Definitions Language) Commands

Goal: Data Definition Commands defines the syntax of a database and manipulate database objects

Objectives:

  • RDBMS (Relational Database Management System) Introduction.
  • Normalization in RDBMS.
  • Create database objects i.e. Create Table.
  • Delete database objects i.e. Delete Database.
  • Alter database objects i.e. Change Column Name.
  • Create, alter and delete constraints.

Topics:

  • Relation Database Management System (RDBMS).
  • Normalization.
  • Create Database objects.
  • Data Types in SQL.
  • Alter Table Statements.
  • Drop Table Statements.
  • Various Constraints.
  • Creating Views.

Hands-On:

  • Create Table with Predefine Columns.
  • Add New Column to Existing Table.
  • Check the constraints on a table.
  • Add Primary Key and Foreign Key on Table.
  • Remove Unique Constraint.

DML (Data Manipulation Language) Commands:

Goal: DML Commands help to work with existing data. Using these commands, we can add, modify, or
delete the data

Objectives:

  • Insert record/data in tables.
  • Modify/Update the existing data.
  • Retrieve the data from database from single table.
  • Use of operators for data retrieval.
  • Delete the data from tables.

Topics:

  • Insert Statements.
  • Insert – As- Select Statement.
  • Update Statements.
  • Delete Statements.
  • Truncate Statements.
  • Select Statement.
  • Sorting and Filtering.
  • SQL wildcard.
  • CASE Expression.

Hands-On:

  • Insert the records in an existing table.
  • Delete selective records.
  • Update data in the table based on data from another table.

Retrieve data from multiple tables

Goal: To combines columns from multiple tables in a database by using values common to tables

Objectives:

  • Retrieve records from multiple tables.

Topics:

  • Self-Join.
  • Inner Join.
  • Left Join.
  • Right Join.
  • Cross Join.

Hands-On:

  • Retrieve data from multiple tables.

Inbuilt Functions in SQL:
Goal: Use Built-In functions to calculate values and manipulate data

Objectives:

  • Use of Built-in Functions.
  • Use of Group by Command.
  • Use of Having Commands.

Topics:

  • Conversion Function.
  • Logical Functions.
  • Math Function.
  • Aggregate Functions.
  • String Functions.
  • Date Functions.

Hands-On:

  • Determine the Count of rows satisfying acertain condition.
  • Determine average of a column.
  • Determine Sum of a column.

Create Advance database objects:
Goal: To create advanced database objects for data manipulation and data retrieval

Objectives:

  • Create Stored Procedure.
  • Execute Stored Procedure.
  • Create Functions.
  • Create Triggers.

Topics:

  • Custom Functions.
  • Stored Procedure.
  • Triggers.

Hands-On:

  • Create Functions.
  • Create Triggers.
  • Create and Execute Stored Procedure.
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SQL Advanced

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