SQL SERVICE TRAINING COURSE

1.1 Various types of databases
1.2 Introduction to Structured Query Language
1.3 Distinction between client server and file server databases
1.4 Understanding SQL Server Management Studio
1.5 SQL Table basics
1.6 Data types and functions
1.7 Transaction-SQL
1.8 Authentication for Windows
1.9 Data control language
1.10 The identification of the keywords in T-SQL, such as Drop Table

2.1 Entity-Relationship Model
2.2 Entity and Entity Set
2.3 Attributes and types of Attributes
2.4 Entity Sets
2.5 Relationship Sets
2.6 Degree of Relationship
2.7 Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many
2.8 Symbols used in E-R Notation

3.1 Introduction to relational databases
3.2 Fundamental concepts of relational rows, tables, and columns
3.3 Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
3.4 Understanding group functions
3.5 The unique key

4.1 Advanced concepts of SQL tables
4.2 SQL functions
4.3 Operators & queries
4.4 Table creation
4.5 Data retrieval from tables
4.6 Combining rows from tables using inner, outer, cross, and self joins
4.7 Deploying operators such as ‘intersect,’ ‘except,’ ‘union,’
4.8 Temporary table creation
4.9 Set operator rules
4.10 Table variables

5.1 Understanding SQL functions – what do they do?
5.2 Scalar functions
5.3 Aggregate functions
5.4 Functions that can be used on different datasets, such as numbers, characters, strings, and dates
5.5 Inline SQL functions
5.6 General functions
5.7 Duplicate functions

6.1 Understanding SQL subqueries, their rules
6.2 Statements and operators with which subqueries can be used
6.3 Using the set clause to modify subqueries
6.4 Understanding different types of subqueries, such as where, select, insert, update, delete, etc.
6.5 Methods to create and view subqueries

7.1 Learning SQL views
7.2 Methods of creating, using, altering, renaming, dropping, and modifying views
7.3 Understanding stored procedures and their key benefits
7.4 Working with stored procedures
7.5 Studying user-defined functions
7.6 Error handling

8.1 User-defined functions
8.2 Types of UDFs, such as scalar
8.3 Inline table value
8.4 Multi-statement table
8.5 Stored procedures and when to deploy them
8.6 What is rank function?
8.7 Triggers, and when to execute triggers?

9.1 SQL Server Management Studio
9.2 Using pivot in MS Excel and MS SQL Server
9.3 Differentiating between Char, Varchar, and NVarchar
9.4 XL path, indexes and their creation
9.5 Records grouping, advantages, searching, sorting, modifying data
9.6 Clustered indexes creation
9.7 Use of indexes to cover queries
9.8 Common table expressions
9.9 Index guidelines

1. Implementing Correlated Subqueries
2. Using EXISTS with a Correlated subquery
3. Using Union Query
4. Using Grouping Set Query
5. Using Rollup
6. Using CUBE to generate four grouping sets
7. Perform a partial CUBE

11.1 Applying transactions
11.2 Using the transaction behavior to identify DML statements
11.3 Learning about implicit and explicit transactions
11.4 Isolation levels management
11.5 Understanding concurrency and locking behavior
11.6 Using memory-optimized tables

12.1 Creating Transact-SQL queries
12.2 Querying multiple tables using joins
12.3 Implementing functions and aggregating data
12.4 Modifying data
12.5 Determining the results of DDL statements on supplied tables and data
12.6 Constructing DML statements using the output statement
12.7 Querying data using subqueries and APPLY
12.8 Querying data using table expressions
12.9 Grouping and pivoting data using queries
12.10 Querying temporal data and non-relational data
12.11 Constructing recursive table expressions to meet business requirements
12.12 Using windowing functions to group
12.13 Rank the results of a query
12.14 Creating database programmability objects by using T-SQL
12.15 Implementing error handling and transactions
12.16 Implementing transaction control in conjunction with error handling in stored procedures
12.17 Implementing data types and NULL
12.18 Designing and implementing relational database schema
12.19 Designing and implementing indexes
12.20 Learning to compare between indexed and included columns
12.21 Implementing clustered index
12.22 Designing and deploying views
12.23 Column store views

• Performance Tuning and Optimizing SQL Databases
• Querying Data with Transact-SQL