MS SQL Server Developer Training

In this MS SQL Server Developer online training you will learn:

• Introduction to SQL architecture, database types and client/server relation. 
• Learn to design relational databases using various operators and functions
• Gain knowledge in the areas such as searching, sorting, indexing, and grouping. 
• Understand various Database Administrators. SQL Server tools and Services 
• Able to Perform Database Backup and restoration tasks.

Taking up this MS SQL Server Developer course is beneficial for the below professionals:

• IT professionals
• SQL and database administrators
• Big data and Hadoop professionals
• Software developers 
• Software developers 
• Business Intelligence professionals
• Aspirants who wish to build their career in SQL development.

• MS SQL Server is one of the widely used databases of today’s IT world. 
• There is a huge demand for the MS SQL Server Developer professionals with good career scope. 
• According to ZipRecruiter, the average salary earned by an MS SQL Server Developer is $96411 a year.

Yes, upon the successful completion of the MS SQL Server Developer training you will receive the course completion certificate from SK Trainings. This certificate is valid across all the top MNCs and simplifies your job search process.

Yes, you will get all assistance from the MS SQL Experts to clear your certification exam. Moreover, you will be provided with the experts designed MS SQL Server Course material to clear your certification exam.

• What is SQL?
• History of SQL
• Introduction to Microsoft SQL Server
• SQL Server versions And Editions
• Default Instance
• Named Instance
• Starting and Stopping SQL Server Services
• Overview SQL Server components

• How to use SQL Server Management Studio
• Connecting to SQL Server
• Windows Authentication
• SQL Server Authentication
• System Databases
• Master database
• Msdb Database
• Model database
• Temp Database
• DDL Commands
• Create
• Alter
• Drop
• User Defined Database
• Create, Alter, Drop a database using SQL script and Tool

• What are system tables?
• Use of system tables
• User Defined Tables
• Create, Alter and Drop a table using SQL Script and Tool
• DQL command
• Introduction to Select
• DML commands
• Insert
• Update
• Delete

• SQL Server constraints
• NULL constraint
• Primary Key constraint
• Foreign key constraint
• Unique key constraint
• Check constraint
• Default constraint

• From clause
• WHERE clause
• Relational operators and Wild Characters
• Order By clause
• Group by clause
• Having Clause
• IN clause
• Between Clause
• Identity property

• Introduction to joins
• Types of joins
• Inner join
• Left outer join
• Right outer join
• Full outer join
• Cross join
• Self join

• Select Into
• Union All and Union
• Intersect and Except
• Top and Distinct
• Truncate
• Sub queries
• Correlated Sub queries
• Conditional Statements
• If, case, and While loops
• MERGE Statement

• Introduction to Indexes
• Use of Index
• Types of Index
• Clustered Index
• Non Clustered Index
• Covering Index
• Column Store Index

• Introduction to Views
• Catalog Views
• User defined Views
• Create Alter and Drop Views
• Partitioned Views
• Indexed Views
• Advantage and Disadvantage of views

• Dynamic SQL
• Introduction to Cursors
• Types of Cursors
• Advantages of cursors

• Introduction to functions
• Built in functions
• Aggregate functions
• String functions
• Date functions
• Ranking functions
• User defined functions
• Create Alter and Drop functions
• Scalar Functions
• Inline table valued functions
• Multi statement Table valued functions
• Uses of functions

• Introduction to triggers
• Types of triggers
• Create Alter and Drop a trigger
• DML Triggers
• DDL Triggers
• Logon Triggers
• Use of Triggers

• Declare and Set commands
• System stored procedures
• User defined stored procedures
• Create Alter and Drop Stored Procedures
• Executing Stored Procedures
• Grant and Revoke Permissions to Stored Procedures
• Input and output parameters
• Capturing the stored procedure output
• Advantages of Stored Procedures

• Redirecting errors with TRY/CATCH
• Creating error handling routines in a CATCH block with ERROR functions
• Using THROW to pass an error message back to a client

• Commit
• Roll back
• Save point

• Viewing query execution plans
• Using SET STATISTICS statements
• Viewing index usage

Relationships in SQL server are explained below

1.  One to One –It can be implemented as a single table. Rarely it is implemented in two tables. For each instance, in the first entity, there is one and only one in the second entity and vice versa.
2.  One to Many –For each instance, in the first entity, there can be one or more in the second entity. For each instance, in the second entity, there can be one and only one instance in the first entity.
3.  Many to Many –For each instance, in the first entity there can be one or more instances in the second entity and moreover, for each instance in the second entity there can be one or more instances in the first entity.

Candidate key, Alternate key, Composite key.

●   1.Candidate key –Key which can uniquely identify a row in the table.
●   2. Alternate key –If the table has more than one candidate keys and when one becomes a primary key the rest becomes alternate keys.
●   3. Composite key –More than one key uniquely identifies a row in a table.

Lets you extend the base SQL Server data types by providing a descriptive name and format to the database. E.g. Flight_num appears in many tables and all these tables have varchar(8) Create a user-defined data-type

It plays a very major part. When building a new system, or adding to an existing system, it is crucial that the design is correct. Ensuring that the correct data is captured and is placed in the appropriate tables, that the right relationships exist between the tables and that data redundancy is eliminated is an ultimate goal when considering performance. Planning a design should be an iterative process, and constantly reviewed as an application is developed. It is rare, although it should be the point that everyone tries to achieve, when the initial design and system goals are not altered, no matter how slightly. Therefore, a designer has to be on top of this and ensure that the design of the database remains efficient..

●  1.Logical – Planning, Analysis and Design
●   2.Physical – Design, Implementation and Maintenance

Yes, very much. Check out BEGIN TRAN, COMMIT, ROLLBACK, SAVE TRAN and @@TRANCOUNT

USER_ID(). Also check out other system functions like USER_NAME(), SYSTEM_USER, SESSION_USER, CURRENT_USER, USER, SUSER_SID(), HOST_NAME().

The ORDER BY clause sorts query results by one or more columns up to 8,060 bytes. This will happen by the time when we retrieve data from the database. Clustered indexes will physically sort data while inserting/updating the table.

Referential integrity refers to the consistency that must be maintained between primary and foreign keys, i.e. every foreign key value must have a corresponding primary key value

It returns the most recently created identity value for the tables in the current execution scope.

Fast performing stored procedures are like several other areas within T-SQL. Revisiting stored procedures every six months or so, to ensure that they are still running at their optimum performance is essential. However, actual techniques themselves include working with as short a transaction area as possible, as lock contention will certainly impact performance. Recompiling your stored procedures after index additions if you are unable or not wishing to restart SQL Server, will also ensure that a procedure is using the correct index if that stored procedure is accessing the table which has received the new index. If you have a T-SQL command that joins several tables, and it takes a long time to return a value, first of all, check out the indexes. But what you may find tends to help, is to break down the code and try to determine which join it is that is causing the performance problem. Then analyze this specific join and see why it is a problem. Always check out a stored procedure’s performance as you build it up by using the SHOWPLAN commands. Also, try to use EXISTS, rather than a JOIN statement. An EXISTS statement will only join on a table until one record is found, rather than joining all the records. Also, try to look at using subqueries when you are trying to find a handful of values in the subquery statement, and there is no key on the column you are looking upon.

Perhaps one of the performance gains least utilized by developers starting out in SQL Server are temporary tables. For example, using one or more temporary tables to break down a problem into several areas could allow blocks of data to be processed in their own individual way, and then at the end of the process, the information within the temporary tables merged and applied to the underlying data. The main area of your focus should be, is there an alternative way of doing things? Even if I have to break this down into several chunks of work, can I do this work without using cursors, and so result in faster performance. Another area that you can look at is the use of CASE statements within your query. By using a CASE statement, you can check the value within a column and make decisions and operations based on what you have found. Although you will still be working on a whole set of data, rather than a subset found in a cursor, you can use CASE to leave values, or records as they are, if they do not meet the right criteria. Care should be taken here though, to make sure that by looking at all the data, you will not be creating a large performance impact. Again, look at using a subset of the data by building a temporary table first, and then merging the results in afterwards. However, don’t get caught out with these recommendations and do any of them in every case. Cursors can be faster if you are dealing with small amounts of data. However, what I have found, to be rule number one, is to get as little data into your cursor as is needed.

This is a very open-ended question and there could be a lot of reasons behind the poor performance of a query. But some general issues that you could talk about would be:

1.  No indexes
2.  No Table scans
3.  Missing or out of date statistics
4.  Blocking
5.  Excess recompilations of stored procedures

A prime attribute is an attribute that is part of a candidate key.

A non-prime attribute is an attribute that is not a part of a candidate key.

Consistency means that the transaction will repeat in a predictable way each time it is performed.

Guarantees that the database will keep track of pending changes so that the server will be able to recover if an error occurs.

It is a set of software programs used to interact with and manage relational databases. Relational databases are databases that contain tables.

Database normalization is the process of organizing the fields and tables of a relational database to minimize redundancy and dependency.