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Querying Microsoft SQL Server with Transact-SQL Course Overview

Querying Microsoft SQL Server with Transact-SQL Course Overview

The "Querying Microsoft SQL Server with Transact-SQL" course is designed to introduce learners to the essentials of Querying and modifying data in Microsoft SQL Server using Transact-SQL (T-SQL). This course covers a broad range of topics, starting with the basics of T-SQL syntax and progressing through Complex querying techniques, Data types, and Functions.

Learners will gain proficiency in crafting queries using `SELECT`, Filtering data with `WHERE`, and Sorting results. They will explore the intricacies of Joining tables, Implementing subqueries, Aggregating data, and utilizing window Functions. The course also dives into Data manipulation with `INSERT`, `UPDATE`, and `DELETE` statements, as well as the use of SQL Server Functions.

Further, participants will study advanced topics like Error handling, Transactions, and the use of Programming constructs in T-SQL. SQL Server Transact-SQL training is comprehensive, equipping learners with the skills to write efficient and powerful database queries. By the end of the course, students will possess the knowledge necessary for effective Transact-SQL training and be able to apply T-SQL techniques to real-world database management scenarios.
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2,500 (USD)
  • Live Training (Duration : 40 Hours)
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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

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

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Course Advisor

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Prem Nidhi Sharma

9+ Years Experience

An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience. 

 

I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.

My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.

In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.

I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.

 

Querying Microsoft SQL Server with Transact-SQL

Target Audience for Querying Microsoft SQL Server with Transact-SQL

The Querying Microsoft SQL Server with Transact-SQL course is designed for IT professionals seeking to master T-SQL for SQL Server.


  • Database Administrators
  • Database Developers
  • Business Intelligence Professionals
  • Data Analysts
  • SQL Server Report Writers
  • IT Professionals seeking to enhance their SQL querying skills
  • System Engineers who manage and maintain SQL Server databases
  • Aspiring SQL Server Data Professionals
  • Technical Consultants who provide database solutions
  • Students studying database management or computer science related courses


Learning Objectives - What you will Learn in this Querying Microsoft SQL Server with Transact-SQL?

  1. Introduction: Gain in-depth knowledge of T-SQL querying within Microsoft SQL Server, mastering data selection, manipulation, and retrieval techniques across diverse scenarios.

  2. Learning Objectives and Outcomes:

  • Understand the fundamentals of Transact-SQL and its role in querying Microsoft SQL Server databases.
  • Master the use of the SELECT statement to retrieve data from SQL Server databases.
  • Learn how to filter and sort query results using WHERE and ORDER BY clauses.
  • Perform calculations and manipulate data using built-in functions and expressions.
  • Gain proficiency in joining multiple tables to extract complex datasets through various types of JOIN operations.
  • Implement advanced query techniques including subqueries, table expressions, and set operators like UNION, INTERSECT, and EXCEPT.
  • Aggregate data for summary reports using GROUP BY and filtering aggregates with HAVING.
  • Explore SQL Server data types and learn how to use them effectively in T-SQL queries.
  • Manipulate database data with INSERT, UPDATE, and DELETE statements.
  • Develop queries to implement window functions and transform data using PIVOT and grouping sets.
  • Write and execute stored procedures with input and output parameters and manage data transactions to ensure data integrity.
  • Incorporate error handling in T-SQL scripts using structured exception handling techniques.

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