MCM Infotech provides best MS SQL server training course in Delhi based on present industry norms that helps candidates to secure placements in their dream jobs at MNC’s. MCM Infotech is one of the most reliable MS SQL server Training institute providing hands on practical knowledge and full job support with basic as well as advanced level. Here training is conducted by subject professional with 10 years of exposure in managing real-life Server projects.

Here aspirants will come to know about Integration Services, Analysis Services, Reporting Services, Data Quality Services, Master Data Services on real time projects along with MS SQL Server placement training. MS SQL Server course has been intended as per latest industry trends and keeping in mind the progressive MS SQL Server course content based on the specialized requirement of the candidate.

MCM Infotech is the major training center in Delhi with high tech infrastructure and lab facilities and the options of electing for multiple courses at Delhi Location. We provide this course at reasonable fees.

This training course comprises “Learning by Doing” using state-of-the-art infrastructure for performing the real-time imitations. This widespread hands-on experience training safeguards that you engross the knowledge and skills that you will need to apply at work after your placement in an MNC’s. 

MCM Infotech is one of the best institutes in Delhi with guaranteed placement support. MCM Infotech has well defined course modules and sessions for aspirants. Here MS SQL Server training is directed during week-days classes, weekend classes, evening classes and fast track training classes too.

Building the 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
• Enabling and disabling constraints
• Removing constraints with ALTER TABLE

Improving performance with indexes

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

Manipulating Data

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

Applying transactions

• Atomic Consistent Isolated Durable (ACID) rules
• Controlling transactions with COMMIT and ROLLBACK

Writing Single Table Queries

• 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

• 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

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

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

Constructing Nested Queries

• Applying subqueries in filter conditions
• 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

Developing In-Line and Stored Views

• 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