Intermediate SQL for Microsoft SQL Server Course Overview

Intermediate SQL for Microsoft SQL Server Course Overview

### Intermediate SQL for Microsoft SQL Server Course Overview

Duration: 1 day (8 hours)

Our Intermediate SQL for Microsoft SQL Server course is designed for SQL users in programming roles who have completed an introductory SQL course. This one-day course dives deeper into essential SQL skills, covering advanced topics like Creating Common Table Expressions (CTEs), Using Windows Functions, Global Variables, and Pivoting Data.

Learning Objectives:
- Create totals and subtotals for comprehensive data summaries.
- Utilize CTEs to simplify complex queries.
- Implement pattern matching using LIKE and PATINDEX functions.
- Pivot data for cross-tabular results.
- Rank results to identify top values.
- Efficiently manage global variables and Loops.

Enhance your SQL capabilities for practical, everyday applications in Microsoft SQL Server environments. Join us and elevate your data querying skills!

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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook
  • Guaranteed-to-Run (GTR)
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites

Before attending this course, you need to have a basic understanding of SQL and should be able to perform the following tasks:


  • Write simple SQL queries using the SELECT statement.
  • Sort data using an ORDER BY clause.
  • Filter data using the WHERE clause.
  • Use the IN operator on a WHERE clause to select multiple values.
  • Create aggregates using a summary function and a GROUP BY clause.

These prerequisites ensure that you have the foundational knowledge required to successfully undertake the Intermediate SQL for Microsoft SQL Server course and make the most of the advanced concepts covered in this training.


Target Audience for Intermediate SQL for Microsoft SQL Server

The Intermediate SQL for Microsoft SQL Server course is designed for SQL users in programming roles looking to enhance their SQL skills for complex operations including CTEs, Windows functions, and data pivoting.


  • SQL Developers
  • Database Administrators
  • Data Analysts
  • Report Analysts
  • Data Scientists
  • Business Intelligence Analysts
  • Application Developers
  • System Analysts
  • Software Engineers
  • Backend Developers
  • IT Professionals in Database Management


Learning Objectives - What you will Learn in this Intermediate SQL for Microsoft SQL Server?

Intermediate SQL for Microsoft SQL Server - Learning Objectives and Outcomes

Introduction: The Intermediate SQL for Microsoft SQL Server course enhances your SQL skills by diving into advanced concepts such as creating CTEs, pattern matching, pivoting data, and using global variables.

Learning Objectives and Outcomes:

  • Review SQL Basics

    • Reinforce common functionalities from the introductory SQL course.
  • Creating Totals and Subtotals

    • Create grand totals.
    • Specify labels on total lines.
    • Generate subtotals and their corresponding labels.
  • Creating Common Table Expressions (CTEs)

    • Understand why CTEs are useful.
    • Distinguish between a CTE and a view.
    • Create and utilize CTEs.
    • Apply in-line views as alternatives to CTEs.
  • Performing Pattern Matching

    • Use the LIKE operator for pattern matching in a WHERE clause.
    • Utilize the PATINDEX function for pattern matching in SELECT statements.
  • Creating Cross-tabular Results

    • Pivot data in a table to get cross-tabular results.
  • Ranking Results

    • Use the Windows function RANK to determine top values.
    • Display specific rows or percentage of rows based on

Technical Topic Explanation

Creating Common Table Expressions (CTEs)

Common Table Expressions (CTEs) in SQL are a powerful tool used to simplify complex queries by breaking them down into simpler parts. In essence, a CTE provides a way to define a temporary result set which you can then reference within a SELECT, INSERT, UPDATE, or DELETE statement. This temporary result set is defined at the start of a query using the WITH clause. Using CTEs can make your SQL code cleaner, more readable, and often more efficient, which is particularly helpful when dealing with large datasets or complex joins and subqueries. CTEs are an essential part of advanced SQL server training and t-SQL training.

Using Windows Functions

Windows Functions in SQL Server are tools used for complex calculations across a set of table rows that are somehow related to the current row. These functions allow you to calculate running totals, moving averages, or ranks without needing to revert to a separate subquery or a self-join. Commonly used in scenarios where you want to compare or analyze data groups, Windows Functions optimize data handling and can significantly enhance SQL query efficiency, making them a critical topic in SQL server DBA training, SQL server DBA course, and T-SQL training programs geared towards MS SQL certification.

Global Variables

Global variables are variables defined outside of any function or block, making them accessible from any part of the program. In contrast to local variables, which are only visible within the function or block they are declared, global variables maintain their values throughout the lifetime of the program and can be modified by any part of the code. This makes them useful for storing information that needs to be shared across various functions in a program, but it also requires careful management to avoid unintended modifications that can lead to bugs.

Pivoting Data

Pivoting data in the context of SQL, often taught in T-SQL training or an MS SQL certification course, refers to transforming data from a long format to a wide format. This makes it easier to understand relationships and perform comparisons across different categories. In SQL Server DBA courses, you learn to use the PIVOT operator to rotate table-valued data. This is crucial in data analysis, allowing you to create summary tables, compare data points, and simplify reporting. Essentially, pivoting is turning rows into columns to provide a birds-eye view of the data, enhancing decision-making processes in business environments.

Loops

Loops in programming are constructs that allow you to repeat a block of code multiple times. You set a condition, and as long as the condition holds true, the code inside the loop continues to execute. This is particularly useful when you need to perform the same action, such as processing items in a list or generating repeated outputs, without manually writing the code multiple times. There are various types of loops, including for loops, while loops, and do-while loops, each with different ways to set the conditions for repetition.

Target Audience for Intermediate SQL for Microsoft SQL Server

The Intermediate SQL for Microsoft SQL Server course is designed for SQL users in programming roles looking to enhance their SQL skills for complex operations including CTEs, Windows functions, and data pivoting.


  • SQL Developers
  • Database Administrators
  • Data Analysts
  • Report Analysts
  • Data Scientists
  • Business Intelligence Analysts
  • Application Developers
  • System Analysts
  • Software Engineers
  • Backend Developers
  • IT Professionals in Database Management


Learning Objectives - What you will Learn in this Intermediate SQL for Microsoft SQL Server?

Intermediate SQL for Microsoft SQL Server - Learning Objectives and Outcomes

Introduction: The Intermediate SQL for Microsoft SQL Server course enhances your SQL skills by diving into advanced concepts such as creating CTEs, pattern matching, pivoting data, and using global variables.

Learning Objectives and Outcomes:

  • Review SQL Basics

    • Reinforce common functionalities from the introductory SQL course.
  • Creating Totals and Subtotals

    • Create grand totals.
    • Specify labels on total lines.
    • Generate subtotals and their corresponding labels.
  • Creating Common Table Expressions (CTEs)

    • Understand why CTEs are useful.
    • Distinguish between a CTE and a view.
    • Create and utilize CTEs.
    • Apply in-line views as alternatives to CTEs.
  • Performing Pattern Matching

    • Use the LIKE operator for pattern matching in a WHERE clause.
    • Utilize the PATINDEX function for pattern matching in SELECT statements.
  • Creating Cross-tabular Results

    • Pivot data in a table to get cross-tabular results.
  • Ranking Results

    • Use the Windows function RANK to determine top values.
    • Display specific rows or percentage of rows based on