Database Fundamentals Course Overview

Database Fundamentals Course Overview

The MTA Database Fundamentals course is designed to impart the foundational knowledge required to work with databases, particularly focusing on Microsoft technologies. It is ideal for individuals starting their journey in database administration or development.

Module 1 delves into Core database concepts, where learners explore how data is organized in Tables, grasp Relational database theories, and understand the roles of DML and DDL. They also learn about SQL for creating database objects.

Module 2 educates on creating database objects, guiding students through choosing appropriate Data types, constructing Tables, creating Views, and the basics of Stored procedures and Functions.

Module 3 is dedicated to data manipulation, teaching how to select, insert, update, and delete data.

Module 4 focuses on understanding Data storage, covering Normalization, Keys, and Indexes.

Finally, Module 5 addresses administering a database, including security, backups, and restoration.

By completing this course, learners will gain a solid foundation in MTA Database Fundamentals, enabling them to pursue advanced studies or entry-level positions in the field of database management.

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Koenig's Unique Offerings

Target Audience for Database Fundamentals

Koenig Solutions' Database Fundamentals course offers foundational knowledge ideal for those seeking to enter the field of database management and development.


  • Aspiring Database Administrators
  • Data Analysts
  • Software Developers
  • IT Professionals looking to expand their database skills
  • Computer Science students
  • Business Intelligence Professionals
  • Data Scientists seeking to understand the underlying database structure
  • System Analysts
  • Database Designers
  • Technical Project Managers
  • Individuals aiming to learn SQL and database concepts for personal development


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

Introduction to Course Learning Outcomes:

Gain foundational knowledge in database operations, from table creation and data manipulation to administering databases with security and recovery protocols.

Learning Objectives and Outcomes:

  • Understand the structure of database tables and how data is stored within them.
  • Comprehend the principles of relational databases and their importance in organizing data effectively.
  • Learn the usage of Data Manipulation Language (DML) to perform operations like insert, update, delete, and select data.
  • Acquire knowledge of Data Definition Language (DDL) for defining and modifying database structures.
  • Develop skills to utilize SQL for creating, managing, and manipulating database objects including tables and views.
  • Select appropriate data types for database fields to ensure data integrity and optimization.
  • Create and define tables with an understanding of how to structure them for efficient data storage and retrieval.
  • Gain a basic understanding of creating views, stored procedures, and functions to enhance data retrieval and manipulation.
  • Understand the concepts of normalization and how they help in reducing data redundancy and improving database efficiency.
  • Learn about key database administration tasks such as implementing security measures, and performing backups and restores to safeguard database integrity.

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