SQL Server

by DASVM Claim Listing

SQL Server is a database management system used to store, access and manage a large amount of data. Every company has their own SQL Server DB developers to develop and test the application against the database.

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30 Hours

Course Details

SQL Server is a database management system used to store, access and manage a large amount of data. Every company has their own SQL Server DB developers to develop and test the application against the database.

SQL is basically a declarative query language used for database management. Its syntax and structure are quite simple and easy to understand and learn.

Our SQL Server Training Program includes all the major topics such as DBMS, TSQL (Transact Structured Query Language), (DML) Data Manipulation Language, Data Query Language, built-in functions, joins, subqueries, indexes, security, views, transaction management, cursors, stored procedures and a lot more.

We can straight away hit SQL Server if you are already good at SQL Fundamentals. To make you proficient in SQL, we give SQL Classroom Course, SQL Online Course and SQL tutorial for beginners.

 

Course Content:

  • Introduction to SQL
  • Various types of databases
  • Introduction to Structured Query Language
  • Distinction between client server and file server databases
  • Understanding SQL Server Management Studio
  • SQL Table basics
  • Data types and functions
  • Transaction-SQL
  • Authentication for Windows
  • Data control language
  • The identification of the keywords in T-SQL, such as Drop Table
  • Software Installation:
  • Installing Oracle
  • Installing Java SDK
  • Installing SQL Developer
  • Running scripts necessary for the course
  • Scripts used in the demonstration
  • Upgrading the latest versions
  • Verifying the installation
  • Manipulating data:
  • Default values for columns
  • Virtual Columns
  • Arithmetic calculations on NULL Values
  • Multi-table Insert’s
  • Merge the data…
  • Database Normalization and Entity Relationship Model
  • Entity-Relationship Model
  • Entity and Entity Set
  • Attributes and types of Attributes
  • Entity Sets
  • Relationship Sets
  • Degree of Relationship
  • Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many
  • Symbols used in E-R Notation
  • SQL Operators
  • Introduction to relational databases
  • Fundamental concepts of relational rows, tables, and columns
  • Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
  • Understanding group functions
  • The unique key
  • Working with SQL: Join, Tables, and Variables
  • Advanced concepts of SQL tables
  • SQL functions
  • Operators & queries
  • Table creation
  • Data retrieval from tables
  • Combining rows from tables using inner, outer, cross, and self joins
  • Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’
  • Temporary table creation
  • Set operator rules
  • Table variables
  • Deep Dive into SQL Functions
  • Understanding SQL functions – what do they do?
  • Scalar functions
  • Aggregate functions
  • Functions that can be used on different datasets, such as numbers, characters, strings, and dates
  • Inline SQL functions
  • General functions
  • Duplicate functions
  • Working with Subqueries
  • Understanding SQL subqueries, their rules
  • Statements and operators with which subqueries can be used
  • Using the set clause to modify subqueries
  • Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
  • Methods to create and view subqueries
  • SQL Views, Functions, and Stored Procedures
  • Learning SQL views
  • Methods of creating, using, altering, renaming, dropping, and modifying views
  • Understanding stored procedures and their key benefits
  • Working with stored procedures
  • Studying user-defined functions
  • Error handling
  • Deep Dive into User-defined Functions
  • User-defined functions
  • Types of UDFs, such as scalar
  • Inline table value
  • Multi-statement table
  • Stored procedures and when to deploy them
  • What is rank function?
  • Triggers, and when to execute triggers?
  • SQL Optimization and Performance
  • Records grouping, advantages, searching, sorting, modifying data
  • Clustered indexes creation
  • Use of indexes to cover queries
  • Common table expressions
  • Index guidelines
  • Regular Expressions:
  • Regular Expressions Introduction
  • Meta Characters . and +
  • Meta Characters ? and *
  • Interval Operator to match the number of occurrences
  • Matching the characters in a List
  • Let’s combine multiple expressions using |
  • Check for expression in the beginning or end of a string
  • POSIX Character class operators
  • Search for meta characters by placing an escape character
  • More examples of Regular Expressions
  • Advanced Topics
  • Correlated Subquery, Grouping Sets, Rollup, Cube, Rank, CTE, Indexes And Triggers Correlated Subquery, Rollup, Grouping set And Cubes
  • Case Statement
  • Exception handling
  • Temp tables
  • Table Variables
  • Usage of While loop & if conditions
  • Transactions
  • Sub Queries
  • Views
  • CTE
  • Cursor
  • Lab:
  • Implementing Correlated Subqueries
  • Using EXISTS with a Correlated subquery
  • Using Union Query
  • Using Grouping Set Query
  • Using Rollup
  • Using CUBE to generate four grouping sets
  • Perform a partial CUBE
  • Managing Database Concurrency
  • Applying transactions
  • Using the transaction behaviour to identify DML statements
  • Learning about implicit and explicit transactions
  • Isolation levels management
  • Understanding concurrency and locking behaviour
  • Using memory-optimized tables
  • BTM Layout Branch

    #7, Ground Floor, 29th Main, 4th Cross, BTM Layout 2nd Stage, BTM Layout, Bangalore

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