Querying SQL Server With T-SQL – Master The SQL Syntax

Course Level: Beginner
Duration: 10 Hrs 6 Min
Total Videos: 67 On-demand Videos

Master the art of Querying SQL Server with our comprehensive course designed for novices and professionals alike, covering everything from core T-SQL querying principles to complex data manipulation techniques. Perfect for database administrators, IT professionals, data analysts, and upcoming graduates, this course equips you with essential skills for efficient data management, setting you up for numerous career opportunities across various industries.

Learning Objectives

01

Understand and apply basic query tools such as Management Studio and command-line tools.

02

Write, understand, and execute T-SQL queries using set theory and logical order of operations.

03

Create, modify, and optimize SELECT queries for data retrieval, including the use of DISTINCT and CASE expressions.

04

Query multiple tables using various join types, including inner, outer, cross, and self joins.

05

Sort and filter data using predicates, TOP and OFFSET-FETCH options, and handling unknown values.

06

Work with SQL Server data types, including date/time and character data, using relevant queries and functions.

07

Use DML to modify data, including inserting, updating, and deleting records.

08

Implement advanced SQL techniques like subqueries, table expressions, set operators, window functions, and error handling.

Course Description

Unlock the power of data with our comprehensive course on Querying SQL Server with T-SQL. Designed to guide you from the basics to the most complex data manipulation techniques, this course will help you master the art of data querying using SQL Server. You will start with an introduction to SQL Server Management Studio and command-line query tools, which are essential for handling diverse data querying scenarios. The course then delves into the intricacies of T-SQL querying, including the writing of effective SELECT statements, understanding the concept of joins, and mastering data sorting and filtering techniques.

Further, you will explore the functionalities of SQL Server data types, learn to modify data using DML, understand the use of built-in functions, and grasp the principles of data grouping and aggregation. Subqueries, views, table-valued functions, derived tables, and common table expressions are also covered thoroughly. By the end of this course, you will have the knowledge and confidence to manage and query SQL Server databases efficiently, ensuring data integrity and optimized performance.

Whether you are a database administrator seeking to refine your querying skills, a data analyst or business intelligence professional working with SQL Server, or a software developer interacting with SQL Server databases, this course will provide you with valuable insights and practical knowledge. It’s also an excellent resource for IT professionals looking to broaden their technical skills, and students or recent graduates planning to venture into database management and analytics. Mastering SQL Server querying can open up numerous career opportunities across various industries, making this course a worthwhile investment for your future.

Who Benefits From This Course

  • Database administrators seeking to further their understanding of SQL and T-SQL
  • Data analysts looking to leverage T-SQL for advanced data querying
  • Software developers who need to interact with SQL Server databases
  • IT professionals seeking to expand their database management skills
  • Students in the field of computer science or data science who wish to understand SQL querying
  • Business intelligence professionals wanting to enhance their data manipulation abilities

Frequently Asked Questions

What is T-SQL and how it is different from SQL?
T-SQL, or Transact-SQL, is Microsoft's extension to the SQL (Structured Query Language). While SQL is a standard language used for manipulating relational databases, T-SQL extends its functionality, providing additional features to manage data in Microsoft SQL Server more efficiently. These features include procedural programming, local variable, various support functions for string processing, date processing, mathematics, etc., and changes to the DELETE and UPDATE statements. This makes T-SQL more powerful and flexible than standard SQL for SQL Server data management.
Why is mastering T-SQL querying important for SQL Server database management?
Mastering T-SQL querying is crucial for efficient SQL Server database management. With a profound understanding of T-SQL, administrators can write more efficient and effective queries to retrieve, manipulate, and analyze data stored in SQL Server databases. Moreover, it allows for better control over data integrity and transaction control, enhancing the overall performance of the database system. It's also crucial for tasks like database troubleshooting, performance tuning, and developing data-driven applications.
What are the career opportunities associated with mastering T-SQL and SQL Server querying?
Mastering T-SQL and SQL Server querying can open up various career opportunities. These skills are highly sought after in roles such as SQL Server Database Administrator, SQL Developer, Data Analyst, Business Intelligence Developer, and more. Professionals with these skills can work across various industries, including IT, finance, healthcare, retail, and e-commerce, to name a few. With the growing importance of data in decision-making, the demand for these skills is likely to continue to rise.
What are some common challenges faced while querying SQL Server databases and how can mastering T-SQL help overcome them?
Some common challenges faced while querying SQL Server databases include dealing with large data volumes, ensuring data integrity, optimizing query performance, and handling complex data manipulation scenarios. Mastering T-SQL can help overcome these challenges. T-SQL's advanced features allow for efficient data manipulation and management, even in large databases. Its built-in functions and procedural programming capabilities enable complex data manipulations. Moreover, understanding T-SQL at a deep level can help write optimized queries, ensuring faster data retrieval and overall improved database performance.
How can T-SQL querying skills benefit data analysts and business intelligence professionals?
Data analysts and business intelligence professionals often work with large amounts of data stored in SQL Server databases. Mastering T-SQL querying can significantly enhance their data handling capabilities. With these skills, they can write complex queries to extract, manipulate, and analyze data more efficiently, leading to more accurate insights. Moreover, T-SQL's advanced functions allow for sophisticated data manipulations and aggregations, enabling deeper and more nuanced data analysis. This can greatly enhance the value they bring to their roles, aiding in better decision-making and strategic planning.

Included In This Course

Module 1 - Query Tools

  •    1.1 Course Introduction
  •    1.2 Module 1 Introduction
  •    1.3 Intro to Management Studio
  •    1.4 Intro to command-line query tools

Module 2 - Introduction to T-SQL Querying

  •    2.1 Module 2 Introduction
  •    2.2 Introducing T-SQL
  •    2.3 Understanding Sets
  •    2.4 Understanding the Logical Order of Operations in SELECT statements

Module 3 - Basic SELECT Queries

  •    3.1 Module 3 Introduction
  •    3.2 Writing Simple SELECT Statements
  •    3.3 Eliminate Duplicates with DISTINCT
  •    3.4 Using Column and Table Aliases
  •    3.5 Write Simple CASE Expressions

Module 4 - Querying Multiple Tables

  •    4.1 Module 4 Introduction
  •    4.2 Understanding Joins
  •    4.3 Querying with Inner Joins
  •    4.4 Querying with Outer Joins
  •    4.5 Querying with Cross Joins and Self Joins

Module 5 - Sorting and Filtering Data

  •    5.1 Module 5 Introduction
  •    5.2 Sorting Data
  •    5.3 Filtering Data with Predicates
  •    5.4 Filtering with the TOP and OFFSET-FETCH
  •    5.5 Working with Unknown Values

Module 6 - Working with SQL Server Data Types

  •    6.1 Module 6 Introduction
  •    6.2 Writing Queries that return Date and Time Data
  •    6.3 Writing Queries that use Date and Time Functions
  •    6.4 Writing Queries that return Character Data
  •    6.5 Writing Queries that use Character Functions

Module 7 - Using DML to Modify Data

  •    7.1 Module 7 Introduction
  •    7.2 Inserting Records with DML
  •    7.3 Updating Records Using DML
  •    7.4 Deleting Records Using DML

Module 8 - Using Built-In Functions

  •    8.1 Module 8 Introduction
  •    8.2 Writing Queries with Built-In Functions
  •    8.3 Using Conversion Functions
  •    8.4 Using Logical Functions
  •    8.5 Using Functions to Work with NULL

Module 9 - Grouping and Aggregating Data

  •    9.1 Module 9 Introduction
  •    9.2 Using Aggregate Functions
  •    9.3 Using the GROUP BY Clause
  •    9.4 Filtering Groups with HAVING

Module 10 - Using Subqueries

  •    10.1 Module 10 Introduction
  •    10.2 Writing Self-Contained Subqueries
  •    10.3 Writing Correlated Subqueries
  •    10.4 Using the EXISTS Predicate with Subqueries

Module 11 - Using Table Expressions

  •    11.1 Module 11 Introduction
  •    11.2 Using Views
  •    11.3 Using Inline Table-Valued Functions
  •    11.4 Using Derived Tables
  •    11.5 Using Common Table Expressions

Module 12 - Using Set Operators

  •    12.1 Module 12 Introduction
  •    12.2 Writing Queries with the UNION operator
  •    12.3 Using EXCEPT and INTERSECT
  •    12.4 Using APPLY

Module 13 - Using Window Ranking, Offset, and Aggregate Functions

  •    13.1 Module 13 Introduction
  •    13.2 Creating Windows with OVER
  •    13.3 Exploring Window Functions

Module 14 - Pivoting and Grouping Sets

  •    14.1 Module 14 Introduction
  •    14.2 Writing Queries with PIVOT and UNPIVOT
  •    14.3 Working with Grouping Sets

Module 15 - Implementing Error Handling

  •    15.1 Module Introduction
  •    15.2 Implementing T-SQL error handling
  •    15.3 Implementing structured exception handling

Module 16 - Managing Transactions

  •    16.1 Module 16 Introduction
  •    16.2 Transactions and the Database Engine
  •    16.3 Controlling Transactions
  •    16.4 Course Wrap Up