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Stored Procedures, Triggers, And Transactions With Microsoft SQL Server

15 Sep 2026   08:30 AM CST

  • Free Webinar
  • Live Q&A
  • Free Participation Certificate
  • Learn from Industry Experts

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Webinar Overview
In this webinar, we will explore how to use Stored Procedures, Triggers, and Transactions in Microsoft SQL Server to build secure, reliable, and efficient database applications. Attendees will learn how to automate business logic, enforce data integrity, and manage database operations safely using T-SQL. The session will cover practical implementation techniques, transaction handling, and error management through live demonstrations and real-world examples.
Key Points

  • Introduction to Stored Procedures: Learn how stored procedures help improve code reusability, security, and performance in SQL Server applications.
  • Working with Triggers: Understand how triggers can automatically execute business rules and maintain data consistency during INSERT, UPDATE, and DELETE operations.
  • Understanding Transactions: Explore transaction control using BEGIN TRANSACTION, COMMIT, and ROLLBACK to ensure data accuracy and reliability
  • Live Demonstrations: Step-by-step demonstrations showing the creation and execution of stored procedures, triggers, and transactions in Microsoft SQL Server.
Meet The Trainer
Sharayoo Gaurav Dixit
Sharayoo Gaurav Dixit

Mentor | NIIT

Duration: March 2021 – May 2026

  • Delivered instructor-led training sessions on Microsoft Excel, SQL, Python, Machine Learning, Tableau, and Power BI for students and working professionals.
  • Designed and developed training content, assignments, exercises, and learning materials for SQL and Python for Data Science programs.
  • Conducted hands-on workshops and practical sessions focused on real-world data analytics and machine learning applications.
  • Guided learners through end-to-end industry projects, including:
    • Amazon Customer Feedback Analysis – Sentiment analysis and customer insights.
    • Football Data Analysis – Performance analysis and data visualization.
    • IMDb Movie Data Analysis – Exploratory data analysis, visualization, and predictive modeling.
  • Mentored students on data cleaning, data visualization, statistical analysis, and machine learning model development.
  • Assisted learners in applying analytical techniques using tools such as Python, SQL, Tableau, and Power BI to solve business problems.
  • Evaluated student performance through assignments, assessments, and project reviews while providing continuous feedback and guidance.

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