Advance SQL Database Training Course Overview

Advance SQL Database Training Course Overview

Advance SQL Database Training at Koenig Solutions equips learners with essential skills to master SQL database management. This comprehensive course covers a range of topics, including advanced querying techniques, database optimization, and transaction management.

Learning objectives include enhancing your ability to write complex SQL statements, effectively manage database performance, and ensure data integrity. Participants will engage in practical applications through hands-on exercises, allowing them to apply theoretical concepts in real-world scenarios. By the end of the course, learners will be well-prepared to tackle advanced SQL challenges, boosting their confidence and career opportunities in the IT field. Join us to unlock your potential and take your SQL knowledge to the next level!

CoursePage_session_icon 

Successfully delivered 1 sessions for over 21 professionals

Purchase This Course

USD

1,550

View Fees Breakdown

Course Fee 1,550
Total Fees
1,550 (USD)
  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request

Filter By:

♱ Excluding VAT/GST

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

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

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

Request More Information

Email:  WhatsApp:

Course Advisor

advisor-image

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.

 

Target Audience for Advance SQL Database Training

Koenig Solutions' Advanced SQL Database Training equips professionals with in-depth knowledge and skills in SQL, enhancing their ability to manage complex databases and optimize data retrieval processes.


  • Database Administrators
  • Data Analysts
  • Data Engineers
  • SQL Developers
  • Business Intelligence (BI) Analysts
  • Software Developers
  • IT Professionals Transitioning to Database Roles
  • Systems Analysts
  • Database Architects
  • Database Consultants
  • Cloud Database Administrators
  • Application Developers
  • Data Scientists
  • Project Managers overseeing data projects


Learning Objectives - What you will Learn in this Advance SQL Database Training?

Introduction:
The Advanced SQL Database Training course empowers students to deepen their understanding of SQL, focusing on complex queries, data manipulation, performance tuning, and database design principles, thereby enhancing their database management skills.

Learning Objectives and Outcomes:

  • Master advanced SQL querying techniques, including joins, subqueries, and window functions.
  • Implement data manipulation with complex transactions and stored procedures.
  • Understand and apply performance tuning methods for query optimization.
  • Design and manage database schemas and normalization processes.
  • Utilize indexing strategies to improve query performance.
  • Explore SQL Server or equivalent database system functionalities.
  • Gain hands-on experience with database security and permissions.
  • Implement backup and recovery strategies for database management.
  • Analyze and troubleshoot common database issues.
  • Develop reporting and data transformation skills using SQL.

Suggested Courses

USD