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Microsoft SQL Server 2016 And 2017 Advanced Querying 2 Days

Course Overview

INTRODUCTION This 2 day course is intended for students who have taken the “Microsoft SQL Server 2016 and 2017 Introduction to Querying” course, or possess equivalent knowledge gained in the workplace or elsewhere. It may also prove beneficial to delegates wanting to refresh their current knowledge of the subject matter. Take your querying skills to a new level with this advanced course. Gain a deeper insight into your data and understand how SQL Server internally handles the data you query. Learn how to manipulate data in new and meaningful ways for the purposes of data analysis and reporting. Learn useful techniques for querying temporal data, such as working with date intervals and data islands. Consider best practices for writing efficient queries and avoid common pitfalls. You will find that this is a comprehensive course for this level, with plenty of illustrated examples and augmented with practical hands-on exercises. PREREQUISITES Students should ideally be familiar with basic programming concepts. They should also understand the fundamental design of relational databases including, but not restricted to, the purpose of primary and foreign keys, entity relationships, and data normalization. These prerequisites can be met by taking the 2 day “Microsoft SQL Server 2016 and 2017 Relational Database Design and Querying Fundamentals” course. Additionally, delegates should have attended the 2 day “Microsoft SQL Server 2016 and 2017 Introduction to Querying” course, or possess equivalent knowledge gained in the workplace or elsewhere.







Upon successful completion of this course, students will be able to:

• Use Functions Native to SQL Server

• Manipulate NULL Values in Queries

• Conditionally Manipulate Data using the CASE Expression

• Understand Native SQL Server Data Types

• Implement Variables

• Implement Advanced Join Techniques

• Aggregate Data to Higher Grouping Levels

• Rank Data Using SQL Server Ranking Functions

• Analyse Data with Window Functions

• Restrict Data Result Sets

• Correlate Data with the APPLY Operator

• Implement Temporary Data Storage

• Transform Data Using Pivot Operators

• Understand Common Table Expressions (CTE’s)

• Work with Native SQL Server Date and Time Data

• Implement Advanced Data Modification Techniques

• Understand the Role of Transactions in SQL Server

• Understand the Role of Views in SQL Server Databases

COURSE OUTLINE 1. Using Functions in Queries

Introducing Native SQL Server Functions

Getting Help on Functions

Functions Relating to NULL Values

Using the CASE Expression

2. Working with SQL Server Data Types

Native SQL Server Data Types

Data Type Precedence

Implicit Data Type Conversions

Explicit Data Type Conversion Functions

Working with Variables

Using Batches

3. Advanced Table Join Techniques

Reviewing Joins

Joining a Table to Itself (Self Join)

Using Non-Equi Joins

4. Aggregating Data at Higher Levels

Reviewing SQL Server Aggregate Functions

Using the ROLLUP and CUBE Operators


5. Ranking Grouped Data

Window Functions that Rank Data


Using RANK



6. Analysing Data with Window Functions

Aggregate Window Functions

Analytic Window Functions

7. Restricting Result Sets

Reviewing the UNION and TOP Operators

Using the EXCEPT and INTERSECT Operators



8. Advanced Subqueries

Reviewing Subqueries

Using the APPLY Operator

9. Temporary Storage

Table Variables

Temporary Tables

10. Crosstab Queries

Using the PIVOT Operator

Using the UNPIVOT Operator

11. Common Table Expressions

Introduction to Common Table Expressions

Using Common Table Expressions

Recursive Queries Using Common Table Expressions

12. SQL Server Date and Time Data Types

Understanding SQL Server Date and Time Data Types

Querying and Modifying Date and Time Data

Native SQL Server Date and Time Functions

Guidelines and Techniques for Querying Dates

13. Advanced Data Modification Techniques

Using the OUTPUT Clause

The MERGE Statement

14. Introduction to Transactions

What is a Transaction?

How SQL Server Modifies Data in Tables

Appendix. Introduction to Views (If Time Allows)

Introducing Views

Creating and Modifying a View

Querying Data Through a View