Advanced Querying for SQL Databases Course Overview

Advanced Querying for SQL Databases Course Overview

The "Advanced Querying for SQL Databases" course is designed to elevate the skills of individuals looking to master the art of querying SQL databases using T-SQL. It is ideal for those seeking to deepen their understanding of SQL query classes and execute MS SQL advanced queries. The curriculum begins with an introduction to the benefits and tools of advanced querying, before covering fundamental T-SQL syntax and operations.

Learners will gain proficiency in data retrieval, sorting, and filtering, and then advance to more complex topics such as joins, subqueries, and aggregating data. The course also delves into table expressions, including CTEs and temporary tables, and explores sophisticated querying techniques like window functions and data transformation. Additionally, participants will learn how to create and manage stored procedures, functions, and triggers, handle errors robustly, manage transactions, and optimize queries with indexes for better performance. Upon completion, learners will be equipped with the expertise to write efficient, powerful SQL queries, elevating their database management and analytics capabilities.

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  • Live Online Training (Duration : 40 Hours)
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  • Guaranteed-to-Run (GTR)
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  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ 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

To ensure you are well-prepared and can gain the maximum benefit from the Advanced Querying for SQL Databases course, the following prerequisites are recommended:


  • Basic understanding of relational databases and their purpose.
  • Familiarity with the fundamental concepts of SQL, including writing simple SELECT statements.
  • Knowledge of how to use a database management system (DBMS), preferably with experience in Microsoft SQL Server.
  • Ability to perform basic operations on a computer running Windows, as the tools and examples provided are often based on this operating system.
  • An understanding of core programming concepts can be beneficial, though not strictly necessary for this course.

These prerequisites are designed to provide a foundation upon which the course material can build. They are not meant to be barriers to entry, but rather to ensure a cohesive learning experience that allows all participants to engage with the advanced topics effectively. If you are unsure about your level of readiness, please feel free to reach out for an assessment or for resources to help prepare you for the course.


Target Audience for Advanced Querying for SQL Databases

The Advanced Querying for SQL Databases course is designed for IT professionals aiming to master SQL querying and database management.


Target audience for the course includes:


  • Database Administrators
  • SQL Server Developers
  • Business Intelligence Professionals
  • Data Analysts
  • IT Professionals looking to enhance their SQL querying skills
  • Software Engineers who interact with databases
  • Systems Analysts
  • Data Scientists with a focus on data retrieval and manipulation
  • Report Writers
  • Technical Support Specialists dealing with databases
  • Database Designers looking to improve query performance
  • Data Architects seeking advanced querying techniques


Learning Objectives - What you will Learn in this Advanced Querying for SQL Databases?

  1. Introduction to Learning Outcomes: Gain advanced T-SQL querying skills and methodologies for SQL databases, including data retrieval, aggregation, error handling, transactions, and performance tuning.

  2. Learning Objectives and Outcomes:

  • Understand advanced querying benefits and the role of T-SQL in SQL databases.
  • Master data retrieval techniques, sorting, and filtering from multiple tables using T-SQL.
  • Learn to efficiently combine data with various types of joins and write complex subqueries.
  • Develop skills in grouping data and utilizing aggregate functions to summarize datasets.
  • Work with NULL values and understand their impact on query results and aggregations.
  • Utilize table expressions such as CTEs, derived tables, and temporary tables to structure queries.
  • Apply advanced querying techniques using window functions and ranking functions.
  • Create, pivot, and unpivot data sets for advanced data analysis and reporting.
  • Design and implement stored procedures, user-defined functions, and triggers to automate tasks.
  • Manage error handling with Try-Catch blocks and control transactions to ensure data integrity.
  • Analyze and interpret query execution plans to identify and implement performance tuning strategies.