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Relational Database Implementation and Applications
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Relational Database Implementation and Applications

Master advanced database concepts and develop practical skills in database management and application development.

Course Cost

Free course

Intermediate

Skill Level

29 Hours

Self-paced lessons

This comprehensive course delves into the advanced aspects of relational database implementation and application development. Students will learn to implement and optimize database structures using indexes, views, triggers, functions, and stored procedures. The curriculum covers advanced SQL techniques, including window functions and OLAP queries. Participants will develop database-driven applications using programming languages like Java, Python, or C++. The course also explores critical concepts such as indexing, hashing, transaction processing, and concurrency control. By the end, students will have a strong foundation in database management, application development, and the skills to ensure data integrity and efficiency in complex database systems.

What you'll learn

  • Implement relational databases using indexes, views, triggers, functions, and stored procedures

  • Apply advanced SQL techniques including window functions and OLAP queries

  • Develop database-driven applications using programming languages like Java, Python, or C++

  • Understand and implement indexing and hashing techniques for efficient data retrieval

  • Describe transaction concepts and their properties (ACID)

  • Manage concurrency control in database systems

  • Optimize database performance using various techniques

  • Ensure data integrity in complex database environments

Skills you'll gain

database management
SQL
indexing
application development
OLAP
transactions
concurrency control
Java
Python
C++

This course includes:

10 Hours PreRecorded video

12 quizzes, 1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

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There are 7 modules in this course

This course provides an in-depth exploration of relational database implementation and applications. It covers advanced topics such as implementing indexes, views, triggers, functions, and stored procedures to optimize database performance. Students will learn advanced SQL techniques, including window functions and OLAP queries, and develop database-driven applications using programming languages like Java, Python, or C++. The course also delves into critical concepts such as indexing, hashing, transaction processing, and concurrency control. By combining theoretical knowledge with practical application, students will gain comprehensive skills in database management and application development.

Indexes, Views, Functions, and Stored Procedures

Module 1 · 7 Hours to complete

Advanced Window Functions and OLAP Queries in SQL

Module 2 · 4 Hours to complete

Database Application Development

Module 3 · 4 Hours to complete

Indexing and Hashing

Module 4 · 4 Hours to complete

Transaction Concepts

Module 5 · 4 Hours to complete

Concurrency Control

Module 6 · 3 Hours to complete

Summative Course Assessment

Module 7 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Relational Database Implementation and Applications

Intermediate

Skill Level

29 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.