SQL Database Course in Dubai

1. SQL Overview

  • Outlining SQL as the cornerstone of database activity
  • Applying the ANSI/ISO standards
  • Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys

2. Building Database schema

Creating tables and columns

  • Building tables with CREATE TABLE
  • Modifying table structure with ALTER TABLE
  • Adding columns to an existing table
  • Removing tables with DROP TABLE

Protecting data integrity with constraints

  • Guaranteeing uniqueness with primary key constraints
  • Enforcing integrity with foreign key constraints
  • Imposing business rules with check constraints

Improving performance with indexes

  • Expediting data retrieval with indexes
  • Recommending guidelines for index creation

3. Manipulating Data

Modifying table contents

  • Adding table rows with INSERT
  • Changing row content with UPDATE
  • Removing rows with DELETE

Applying transactions

  • Controlling transactions with COMMIT and ROLLBACK
  • Deploying BEGIN TRANSACTION in SQL Server

4. Working with SELECT Statement

Writing Single Table queries

  • Retrieving data with SELECT
  • Specifying column expressions
  • Sorting the result with ORDER BY
  • Handling NULL values in expressions

Restricting rows with the WHERE filter

  • Testing for equality or inequality
  • Applying wildcard characters
  • Avoiding NULL value pitfalls

5. Querying Multiple Tables

Applying the ANSI/ISO standard join syntax

  • Matching related rows with INNER JOIN
  • Including non matched rows with OUTER JOIN
  • Creating a Cartesian product with CROSS JOIN

Combining results with set operators

  • Stacking results with UNION
  • Identifying matching rows with INTERSECT
  • Utilizing EXCEPT to find non matching rows

6. Employing Functions in Data Retrieval

Processing data with row functions

  • Conditional formatting with the CASE expression
  • Utilizing the CASE expression to simulate IF tests
  • Dealing with NULL values

Performing analysis with aggregate functions

  • Summarizing data using SUM, AVG and COUNT
  • Finding the highest/lowest values with MAX and MIN
  • Defining the summary level with GROUP BY
  • Applying filter conditions with HAVING

7. Constructing Nested Queries

Applying subqueries in filter conditions

  • Creating correlated vs. noncorrelated subqueries
  • Testing the existence of rows

Including subqueries in expressions

  • Placing subqueries in the column list
  • Creating complex expressions containing subqueries
  • Handling subqueries that return no rows

8. Developing In-Line and Stored Views

Breaking down complex problems

  • Selecting data from a query result set
  • Using subqueries in the FROM clause

Creating views in a database

  • Building reusable code
  • Creating updateable vs. non-updateable views
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