Duration : 60 Hrs | 1hr theory/day 1hr Practical

 

Module 1: Introduction to Microsoft SQL Server 2014 
This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases. 
Lessons

The Basic Architecture of SQL Server

SQL Server Editions and Versions

Getting Started with SQL Server Management Studio

 

Lab : Working with SQL Server 2014 Tools

Working with SQL Server Management Studio

Creating and Organizing T-SQL scripts

Using Books Online

 

After completing this module, you will be able to:

Describe the architecture and editions of SQL Server 2012.

Work with SQL Server Management Studio.

 

Module 2: Introduction to SQL Querying 
This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations. 


Lessons

Introducing SQL

Understanding Sets

Understanding Predicate Logic

Understanding the Logical Order of Operations in SELECT statements

 

Lab : Introduction to SQL Querying

Executing Basic SELECT Statements

Executing queries which filter data using predicates

Executing queries which sort data using ORDER BY

 

After completing this module, you will be able to:

Describe the elements of SQL and their role in writing queries

Describe the use of sets in SQL Server

Describe the use of predicate logic in SQL Server

 

Module 3: Writing SELECT Queries 
This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table. 


Lessons

Writing Simple SELECT Statements

Eliminating Duplicates with DISTINCT

Using Column and Table Aliases

Writing Simple CASE Expressions

 

Lab : Writing Basic SELECT Statements

Write simple SELECT Statements

Eliminate Duplicates Using Distinct

Use Table and Column Aliases

Use a Simple CASE Expression

 

After completing this module, you will be able to:

Write simple SELECT statements.

Eliminate duplicates using the DISTINCT clause.

Use column and table aliases.

Write simple CASE expressions.

 

Module 4: Querying Multiple Tables 
This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables. 


Lessons

Understanding Joins

Querying with Inner Joins

Querying with Outer Joins

Querying with Cross Joins and Self Joins

 

Lab : Querying Multiple Tables

Writing Queries That Use Inner Joins

Writing Queries That Use Multiple-Table Inner Join

Writing Queries That Use Self Joins

Writing Queries That Use Outer Joins

Writing Queries That Use Cross Joins

 

After completing this module, you will be able to:

Describe how multiple tables may be queried in a SELECT statement using joins.

Write queries that use inner joins.

Write queries that use outer joins.

Write queries that use self-joins and cross joins.

 

Module 5: Sorting and Filtering Data 
This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results. 


Lessons

Sorting Data

Filtering Data with a WHERE Clause

Filtering with the TOP and OFFSET-FETCH Options

Working with Unknown and Missing Values

 

Lab : Sorting and Filtering Data

Writing Queries That Filter Data Using a WHERE Clause

Writing Queries That Filter Data Using an ORDER BY Clause

Writing Queries That Filter Data Using the TOP Option

Writing Queries That Filter Data Using the OFFSET-FETCH Clause

 

After completing this module, you will be able to:

Filter data with predicates in the WHERE clause.

Sort data using ORDER BY.

Filter data in the SELECT clause with TOP.

Filter data with OFFSET and FETCH.

 

Module 6: Working with SQL Server 2014 Data Types 
This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence. 


Lessons

Introducing SQL Server 2014 Data Types

Working with Character Data

Working with Date and Time Data

 

Lab : Working with SQL Server 2014 Data Types

Writing Queries That Return Date and Time Data

Writing Queries That Use Date and Time Functions

Writing Queries That Return Character Data

Writing Queries That Use Character Functions

 

After completing this module, you will be able to:

Describe numeric data types, type precedence and type conversions.

Write queries using character data types.

Write queries using date and time data types.

 

Module 7: Using DML to Modify Data 
This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data. 
Lessons

Inserting Data

Modifying and Deleting Data

 

Lab : Using DML to Modify Data

Inserting Data

Updating and Deleting Data

 

After completing this module, you will be able to:

Insert new data into your tables.

Update and delete existing records in your tables.

 

Module 8: Using Built-In FunctionsThis module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.Lessons

Writing Queries with Built-In Functions

Using Conversion Functions

Using Logical Functions

Using Functions to Work with NULL

 

Lab : Using Built-In Functions

Write queries which use conversion functions

Write queries which use logical functions

Write queries which test for nullability

 

After completing this module, you will be able to:

Write queries with built-in scalar functions.

Use conversion functions.

Use logical functions.

Use functions that work with NULL.

 

Module 9: Grouping and Aggregating Data 
This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

Lessons

Using Aggregate Functions

Using the GROUP BY Clause

Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

Write queries which use the GROUP BY clause

Write queries which use aggregate functions

Write queries which use distinct aggregate functions

Write queries which filter groups with the HAVING clause

 

After completing this module, you will be able to:

Write queries which summarize data using built-in aggregate functions.

Use the GROUP BY clause to arrange rows into groups.

Use the HAVING clause to filter out groups based on a search condition.

 

Module 10: Using Subqueries 
This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators. 
Lessons

Writing Self-Contained Subqueries

Writing Correlated Subqueries

Using the EXISTS Predicate with Subqueries

 

Lab : Using Subqueries

Write queries which use self-contained subqueries

Write queries which use scalar and multi-result subqueries

Write queries which use correlated subqueries and EXISTS predicate

 

After completing this module, you will be able to:

Describe the uses of queries which are nested within other queries.

Write self-contained subqueries which return scalar or multi-valued results.

Write correlated subqueries which return scalar or multi-valued results.

Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

 

Module 11: Using Set Operators 
This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services. 
Lessons

Writing Queries with the UNION Operator

Using EXCEPT and INTERSECT

Using APPLY

 

Lab : Using Set Operators

Write queries which use UNION set operators and UNION ALL multi-set operators

Write queries which use CROSS APPLY and OUTER APPLY operators

Write queries which use EXCEPT and INTERSECT operators

 

After completing this module, you will be able to:

Write queries which combine data using the UNION operator

Write queries which compare sets using the INTERSECT and EXCEPT operators

Write queries which manipulate rows in a table by using APPLY with the results of a derived table or function

 

Module 12: Using Window Ranking, Offset, and Aggregate Functions 
This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW-NUMBER, RANK, DENSE-RANK, NTILE, LAG, LEAD, FIRST-VALUE and LAST-VALUE to perform calculations against a set, or window, of rows. 
Lessons

Creating Windows with OVER

Exploring Window Functions

 

Lab : Using Window Ranking, Offset and Aggregate Functions

Write queries which use ranking functions

Write queries which use offset functions

Write queries which use window aggregate functions

 

After completing this module, you will be able to:

Describe the benefits to using window functions.

Restrict window functions to rows defined in an OVER clause, including partitions and frames.

Write queries which use window functions to operate on a window of rows and return ranking, aggregation and offset comparison results.

 

Module 13: Pivoting and Grouping Sets 
This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server. 


Lessons

Writing Queries with PIVOT and UNPIVOT

Working with Grouping Sets

 

Lab : Pivoting and Grouping Sets

Write queries which use the PIVOT operator

Write queries which use the UNPIVOT operator

Write queries which use the GROUPING SETS subclause

 

After completing this module, you will be able to:

Write queries which pivot and unpivot result sets.

Write queries which specify multiple groupings with grouping sets.

 

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