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.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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

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Course Prerequisites

To ensure you have a solid foundation for successfully undertaking the Database Fundamentals course, we recommend that you meet the following minimum prerequisites:


  • Basic understanding of computer operations, such as file management and navigating the operating system.
  • Familiarity with the concept of a database and its purpose within a business or organization.
  • Knowledge of basic mathematical concepts, which may be applied during data manipulation and querying.
  • An introductory level of understanding of what tables are in the context of a database.
  • Ability to perform simple tasks using a command line interface or graphical user interface, as you may need to interact with database management systems during the course.
  • Willingness to engage with logical problem-solving tasks and think critically about data organization and structure.

Please note that the course is designed to introduce you to the fundamental concepts of databases, so no advanced prior knowledge is required. The course starts with the basics and gradually builds up to more complex topics. Your enthusiasm to learn and commitment to the course material are the most critical factors for your success.


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.