Database Testing Course Overview

Database Testing Course Overview

Database Testing is a critical course designed to equip you with the essential skills and knowledge to ensure the integrity and reliability of database systems. You will explore key concepts such as data integrity, schema validation, and the importance of functional testing. Each module covers vital topics, including types of database testing, testing techniques, and setting up a test environment. By the end of the course, you will be able to perform comprehensive database testing, utilize industry tools, and implement best practices to mitigate common challenges. This hands-on approach ensures you can apply concepts practically, preparing you for a successful career in IT.

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1,150

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Course Fee 1,150
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1,150 (USD)
  • Live Training (Duration : 24 Hours)
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  • 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

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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.

 

Target Audience for Database Testing

The Database Testing course from Koenig Solutions provides essential skills and techniques for validating databases effectively, catering to professionals involved in software quality assurance and database management.


  • Software Testers
  • QA Engineers
  • Database Administrators
  • Data Analysts
  • Software Developers
  • Business Analysts
  • IT Project Managers
  • Automation Engineers
  • Technical Support Specialists
  • Data Architects
  • Systems Analysts
  • Application Developers
  • IT Consultants


Learning Objectives - What you will Learn in this Database Testing?

Introduction:
The Database Testing course at Koenig Solutions equips students with essential knowledge and skills to effectively test databases, covering key concepts, techniques, tools, and best practices to ensure data integrity, performance, and security.

Learning Objectives and Outcomes:

  • Understand the definition and importance of database testing.
  • Identify various types of database testing, including structural and functional testing.
  • Gain proficiency in database testing fundamentals such as data integrity and schema testing.
  • Learn techniques for verifying CRUD operations and ensuring data validity and consistency.
  • Set up a test environment, including test data creation and management.
  • Explore common database testing tools and criteria for tool selection.
  • Master the database testing process, from planning to result analysis and reporting.
  • Discover best practices and strategies for effective database testing.
  • Analyze practical scenarios through case studies and example test cases.
  • Delve into advanced topics, including performance, load, and security testing for databases.

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