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Server Course Syllabus

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Our SQL Server Course Syllabus teaches you how to use Microsoft SQL Server effectively. You’ll learn about database design, SQL queries, stored procedures, functions, and how to improve performance. The course covers designing and creating databases, writing complex queries, and optimizing database performance. These topics reflect the up-to-date nature of our syllabus, which is because the syllabus is curated by experts from the IT industry. So, enroll in our SQL Server Training Institute in Chennai to master SQL Server easily.

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Breakdown of SQL Server Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

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June 2024
Week ends
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Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

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Syllabus for The SQL Server Course

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SQL Overview

1

  • 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
Building the Database Schema

2

  • 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

3

  • Guaranteeing uniqueness with primary key constraints
  • Enforcing integrity with foreign key constraints
  • Imposing business rules with check constraints
  • Enabling and disabling constraints
  • Removing constraints with ALTER TABLE
Improving performance with indexes

4

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

5

  • Modifying table contents
  • Adding table rows with INSERT
  • Changing row content with UPDATE
  • Removing rows with DELETE
Applying transactions

6

  • Atomic Consistent Isolated Durable (ACID) rules
  • Controlling transactions with COMMIT and ROLLBACK
Writing Single Table Queries

7

  • Retrieving data with SELECT
  • Restricting rows with the WHERE filter
  • Sorting the result with ORDER BY
  • Handling NULL values in expressions
  • Avoiding NULL value pitfalls in filter conditions
Querying Multiple Tables

8

  • Applying the ANSI/ISO standard join syntax
  • Matching related rows with INNER JOIN
  • Including nonmatched rows with OUTER JOIN
  • Creating a Cartesian product with CROSS JOIN
Combining results with set operators

9

  • Stacking results with UNION
  • Identifying matching rows with INTERSECT
  • Utilizing EXCEPT to find nonmatching rows
Employing Functions in Data Retrieval

10

  • 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

11

  • 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
Constructing Nested Queries

12

  • Applying subqueries in filter conditions
  • Correlated vs. noncorrelated subqueries
  • Testing the existence of rows
Including subqueries in expressions

13

  • Placing subqueries in the column list
  • Creating complex expressions containing subqueries
  • Handling subqueries that return no rows
Developing In-Line and Stored Views

14

  • Breaking down complex problems
  • Selecting data from a query result set
  • Subqueries in the FROM clause
  • Creating views in a database
  • Building reusable code
  • Updateable vs. non-updateable views

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