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Gerald Balekaki and Yousef Elmehdwi

In today's data-driven world, the ability to work with relational databases is an essential skill for professionals in various fields. This course is designed to equip you with the knowledge and practical skills needed to become proficient in database management and application development. Whether you are pursuing a career as a database administrator, software developer, or data analyst, this course provides you with a strong foundation to excel in your chosen field.

By the end of this course, students will be able to:

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In today's data-driven world, the ability to work with relational databases is an essential skill for professionals in various fields. This course is designed to equip you with the knowledge and practical skills needed to become proficient in database management and application development. Whether you are pursuing a career as a database administrator, software developer, or data analyst, this course provides you with a strong foundation to excel in your chosen field.

By the end of this course, students will be able to:

• Describe relational databases and their core components, including tables, rows, columns, and keys.

• Implement relational database and usage of indexes, views, triggers, temporary tables, functions, and stored procedures.

• Describe their role in enforcing business logic and data integrity in database environment.

• Apply database design and SQL knowledge to real-world application development.

• Develop database-driven applications using programming languages, such as Java, Python or C/C++ and frameworks.

• Describe the concepts of indexing and hashing in efficient support for search operations.

• Describe the concepts of transactions and their properties (ACID: Atomicity, Consistency, Isolation, Durability).

• Define concurrency control and understand the impact of uncontrolled concurrent transactions on data integrity.

Software Requirements: VS Code editor, MySQL Workbench, PostgreSQL

To succeed in this course, learners should possess a solid understanding of relational database design. If you haven't yet mastered these skills, we strongly recommend completing Introduction to Relational Databases and Relational Database Design beforehand. These foundational courses are designed to equip you with the essential knowledge necessary to excel in this material.

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What's inside

Syllabus

Module 1: Indexes, Views, Functions, and Stored Procedures
Welcome to Relational Database Implementation and Applications! In Module 1 of this course, you'll delve into the fundamental aspects of building relational databases. You'll learn about implementing indexes, views, triggers, functions, and stored procedures in relational databases. We'll highlight the significance of these elements in databases and how they enhance query performance. You'll explore the creation of both simple and complex views, understanding how they offer data abstraction benefits and the versatility of managing data through views. Additionally, you'll gain experience in creating and optimizing database operations using user-defined functions, triggers, and stored procedures in SQL, thus acquiring comprehensive knowledge of accurate business logic implementation and performance optimization techniques.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops foundational skills in database management and application development, catering to learners seeking to excel in their chosen fields
Emphasizes practical skills through implementation, demonstrating real-world applications
Provides hands-on experience with industry-relevant software like MySQL Workbench and PostgreSQL
Covers advanced topics such as window functions, OLAP queries, and concurrency control, preparing learners for complex database scenarios
Recommends prior foundational knowledge in relational database design, suggesting additional courses for beginners

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Reviews summary

Practical relational database implementation and applications

According to students, this course offers a strong foundation and practical skills in relational database implementation. Learners particularly highlight the comprehensive coverage of advanced SQL, transaction concepts, and concurrency control, finding the hands-on labs and application development exercises invaluable for bridging theory and practice. However, several reviews indicate a significant reliance on prior programming experience (Java/Python/C++) and a solid understanding of database design. Some found certain modules, like Indexing and Hashing, could benefit from more depth or more complex real-world examples, while others noted the pace could be inconsistent.
Some modules could use more depth, examples vary in complexity.
"Module 4 (Indexing and Hashing) felt a bit rushed, and I would have liked more depth, particularly on B+-trees."
"Some topics like advanced OLAP queries could benefit from more complex real-world examples."
"My only critique is that some examples were too simplistic given the advanced nature of the topics."
Thoroughly covers advanced SQL, transactions, and concurrency.
"I especially liked the comprehensive coverage of transaction properties and concurrency mechanisms."
"Top-notch course! The coverage of advanced SQL (window functions, OLAP) was fantastic and immediately applicable."
"The ACID properties and concurrency control modules were thoroughly explained."
Emphasizes hands-on application and real-world scenarios.
"This course was exactly what I needed to bridge the gap between theoretical database design and practical application development."
"The practical exercises in developing database applications were invaluable."
"I particularly found the sections on triggers and stored procedures beneficial for my job."
"The hands-on coding and projects are the strongest part of the course for me."
Guidance for programming application integration could be enhanced.
"More beginner-friendly setup guides for the software would be useful."
"While it says it uses Python/Java/C++, it felt like an expectation rather than something taught from scratch."
"I agree with others that some of the programming examples could be more integrated or start from a more basic level for those less familiar with connecting databases to applications."
Requires strong programming and database design fundamentals.
"Requires a solid prior understanding of SQL and database fundamentals."
"The prerequisites are definitely necessary; this is not for absolute beginners."
"I found this course quite difficult without stronger programming skills."
"I struggled with Module 3 (Application Development) because I didn't have strong prior programming experience in Java/Python."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Relational Database Implementation and Applications with these activities:
Read 'Database Systems: The Complete Book' by Garcia-Molina et al.
This comprehensive book provides an in-depth exploration of database systems and their underlying concepts, which will complement and expand upon the course material.
Show steps
  • Read and understand the chapters relevant to the course topics.
  • Take notes and summarize the key concepts discussed in the book.
  • Compare and contrast the book's content with the course material.
Build a Database Resource Collection
Compiling a collection of valuable resources, tools, and documentation will provide a centralized reference for your database-related learning journey.
Show steps
  • Search and gather relevant resources from reputable sources, such as online repositories, documentation websites, and industry blogs.
  • Organize the resources into categories or topics for easy access and retrieval.
  • Create a document or digital repository to store and share the compilation with others.
Review SQL Basics
Reviewing SQL basics will provide a strong foundation for understanding the concepts covered in this course.
Browse courses on SQL
Show steps
  • Revisit the basics of SQL syntax, including data types, operators, and functions.
  • Practice writing simple SQL queries to retrieve and manipulate data.
  • Complete online tutorials or exercises to reinforce your understanding.
Five other activities
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Join a Study Group or Online Forum
Engaging with peers through study groups or online forums will foster collaboration and provide diverse perspectives on the course material.
Show steps
  • Find or create a study group with fellow learners in the course.
  • Regularly meet to discuss course concepts, share insights, and work on assignments together.
  • Participate in online forums or discussion boards to connect with a wider community of learners.
Design and Implement a Relational Database
By designing and implementing a relational database, you will apply the concepts of database normalization and optimization to a real-world scenario.
Browse courses on Database Design
Show steps
  • Identify the entities and relationships involved in a specific domain.
  • Create an entity-relationship diagram to represent the database structure.
  • Design tables, columns, and constraints based on the ER diagram.
  • Use SQL to create and populate the database.
  • Test and refine the database design based on performance and functionality.
Solve SQL Coding Challenges
Regularly solving SQL coding challenges will enhance your problem-solving skills and improve your proficiency in writing efficient SQL queries.
Show steps
  • Join online coding platforms or forums that provide SQL challenges.
  • Attempt to solve challenges of varying difficulty levels.
  • Analyze your solutions and identify areas for improvement.
Explore Advanced SQL Techniques
Delve into advanced SQL techniques to expand your knowledge and explore topics not covered in the course.
Browse courses on Advanced SQL
Show steps
  • Research advanced SQL topics such as window functions, stored procedures, and triggers.
  • Follow online tutorials or documentation to learn about these techniques.
  • Experiment with the techniques in a sandbox environment or practice database.
Contribute to an Open-Source Database Project
Contributing to an open-source database project will provide practical experience in real-world database development and collaboration.
Browse courses on Open Source
Show steps
  • Identify an open-source database project that aligns with your interests.
  • Review the project documentation and codebase to understand the project's goals and structure.
  • Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements.
  • Submit pull requests to the project repository with your contributions.
  • Collaborate with other contributors and maintainers to refine and merge your contributions.

Career center

Learners who complete Relational Database Implementation and Applications will develop knowledge and skills that may be useful to these careers:
Database Designer
Database Designers create and maintain the structure of databases. This course provides a solid foundation for aspiring Database Designers by covering essential concepts in relational database design, indexing, and normalization. Learners will gain proficiency in designing and implementing efficient and scalable database systems that meet the specific requirements of an organization.
Database Administrator
Database Administrators are the backbone of any organization that relies on data. They ensure that data is stored, organized, and accessible to users in a secure and efficient manner. This course provides a strong foundation for those who aspire to become Database Administrators, covering essential concepts such as database design, SQL, indexing, and concurrency control. By gaining proficiency in these areas, learners will be well-equipped to manage and maintain complex database systems, ensuring the integrity and availability of critical data.
ETL Developer
ETL Developers design and implement data pipelines to extract, transform, and load data from various sources into a data warehouse or other target systems. This course provides a strong foundation for ETL Developers by covering essential concepts in relational database design, SQL, and data integration. Learners will gain proficiency in designing and developing efficient and reliable data pipelines that ensure the timely and accurate delivery of data for analysis and reporting.
Database Performance Engineer
Database Performance Engineers optimize the performance of database systems to ensure fast and reliable access to data. This course provides a solid foundation for aspiring Database Performance Engineers by covering essential concepts in database indexing, query optimization, and performance tuning. Learners will gain proficiency in identifying and resolving performance bottlenecks, ensuring that database systems meet the performance requirements of an organization.
Software Developer
Software Developers play a vital role in designing, developing, and maintaining software applications. This course is highly relevant for Software Developers who wish to specialize in database-driven applications. It provides hands-on experience in using programming languages such as Java, Python, or C++ to interact with databases, perform CRUD operations, and implement complex queries using triggers, functions, and stored procedures. This knowledge is essential for building robust and efficient software applications that leverage the power of relational databases.
Database Security Analyst
Database Security Analysts protect databases from unauthorized access, use, and disclosure. This course may be useful for Database Security Analysts who wish to enhance their understanding of relational databases and their security features. By learning about data security, encryption, and access control, Database Security Analysts can effectively assess and mitigate risks to database systems and ensure the confidentiality, integrity, and availability of data.
Data Analyst
Data Analysts are responsible for extracting insights from data to inform decision-making. This course provides a solid foundation for aspiring Data Analysts by covering essential concepts in relational database design and SQL. Learners will gain proficiency in querying and analyzing data, using window functions, and developing OLAP queries. This knowledge is crucial for Data Analysts to effectively analyze large datasets, identify trends, and make data-driven recommendations.
Data Engineer
Data Engineers build and maintain the infrastructure and processes that support data collection, storage, and analysis. This course may be helpful for Data Engineers who wish to gain a deeper understanding of relational databases and their role in data engineering. By learning about data modeling, SQL, and database application development, Data Engineers can effectively design and implement data pipelines, data warehouses, and other data engineering solutions.
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses to support data analysis and decision-making. This course may be helpful for Data Warehouse Architects who wish to gain a deeper understanding of relational databases and their role in data warehousing. By learning about data modeling, SQL, and database application development, Data Warehouse Architects can effectively design and implement data warehouses that meet the specific requirements of an organization.
Software Architect
Software Architects design and develop software systems, ensuring their scalability, reliability, and maintainability. This course may be helpful for Software Architects who wish to gain a deeper understanding of relational databases and their role in software architecture. By learning about data modeling, SQL, and database application development, Software Architects can effectively design and implement software systems that leverage the power of relational databases for data storage and management.
Business Analyst
Business Analysts bridge the gap between business stakeholders and technical teams. This course may be helpful for Business Analysts who wish to gain a deeper understanding of relational databases and their role in supporting business processes. By learning about data modeling, SQL, and database application development, Business Analysts can effectively communicate with technical teams, translate business requirements into technical specifications, and ensure that software applications meet the needs of the business.
Technical Project Manager
Technical Project Managers lead and manage technical projects, ensuring their successful completion. This course may be useful for Technical Project Managers who wish to gain a deeper understanding of relational databases and their role in software development projects. By learning about data modeling, SQL, and database application development, Technical Project Managers can effectively communicate with technical teams, manage project requirements, and ensure that software projects are delivered on time and within budget.
Data Scientist
Data Scientists use scientific methods and statistical techniques to extract knowledge from data. This course may be useful for Data Scientists who wish to enhance their understanding of relational databases and their application in data science. By gaining proficiency in SQL, data modeling, and database application development, Data Scientists can effectively access, manipulate, and analyze large datasets, leveraging the power of relational databases for data exploration, modeling, and prediction.
Information Architect
Information Architects design and organize information systems to meet the needs of users. This course may be useful for Information Architects who wish to gain a deeper understanding of relational databases and their role in information systems. By learning about data modeling, SQL, and database application development, Information Architects can effectively design and implement database systems that support efficient and effective access to information.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Relational Database Implementation and Applications.
Provides a comprehensive overview of database systems, covering topics such as data models, database design, query processing, and transaction management. It valuable reference for students and practitioners alike.
Provides a comprehensive guide to using Hibernate, a popular Java persistence framework. It valuable resource for anyone who wants to develop Java applications that interact with databases.
Provides a comprehensive guide to using Python for data analysis. It valuable resource for anyone who wants to use Python to work with data.
Provides a comprehensive overview of machine learning techniques. It valuable resource for anyone who wants to learn more about machine learning.
Provides a comprehensive overview of deep learning techniques. It valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of reinforcement learning techniques. It valuable resource for anyone who wants to learn more about reinforcement learning.
Provides a comprehensive overview of computer vision techniques. It valuable resource for anyone who wants to learn more about computer vision.
Provides a comprehensive overview of natural language processing techniques. It valuable resource for anyone who wants to learn more about natural language processing.
Provides a comprehensive overview of information retrieval techniques. It valuable resource for anyone who wants to learn more about information retrieval.

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