Relational Database Implementation and Applications from Coursera

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.

Module 2: Advanced Window Functions and OLAP Queries in SQL

Module 2 of this course offers an immersive exploration of the powerful world of SQL window functions and OLAP (Online Analytical Processing) concepts. You will learn about the definition and benefits of window functions, gaining proficiency in advanced applications such as RANK(), DENSE_RANK(), LEAD(), LAG(), NTILE(n), PERCENT_RANK(), and CUME_DIST(). Additionally, you'll develop the skills to control window function behavior using PARTITION BY and ORDER BY clauses, define custom window frames with RANGE and ROWS clauses, and design, query, and analyze OLAP datasets using ROLL-UP and DRILL-DOWN levels of aggregation.

Module 3: Database Application Development

In Module 3 of this course, you'll learn how to develop database applications using versatile programming languages such as Java, Python, or C++. You'll discover how to establish connections to databases, perform essential CRUD (Create, Read, Update, Delete) operations, and write code that supports SQL features like triggers, functions, and stored procedures used to facilitate complex queries in relational databases. The focus will be on robust database interactions, including error and exception handling to address connection issues, query failures, and data validation, ensuring the reliability of your applications.

Module 4: Indexing and Hashing

Module 4 of this course provides an in-depth understanding of indexing within database systems. You'll define indexing and grasp its critical importance. Through comprehensive exploration, you'll differentiate between various types of indexes, including ordered and hash indexes, primary and secondary indexes, as well as multi-level and single-level indexes. Additionally, you'll delve into the structure of B+-trees, including nodes and leaves, and learn how these structures maintain balance, supporting efficient search operations. You'll also gain insight into B+-tree insertion and deletion operations.

Module 5: Transaction Concepts

In Module 5, you will enter into the world of database transactions and their critical role in ensuring data consistency and integrity. You will gain a comprehensive understanding of the four ACID properties (Atomicity, Consistency, Isolation, Durability) and their significance in maintaining the reliability of transactions. Additionally, you'll explore techniques for managing concurrent access to data, including discussions on COMMIT and ROLLBACK behaviors, serial and serializable schedules, and conflict serializability tests using graph-based techniques. This module will also cover concepts like equivalent serial schedules, recoverability, and cascade-less schedules, empowering you to design and manage complex database systems with confidence and precision.

Module 6: Concurrency Control

Module 6 focuses on concurrency control in database management systems. You'll define concurrency control and understand its significance in maintaining data integrity while delving into the principles of lock-based concurrency control. This module will cover key concepts such as shared and exclusive lock types, lock modes, lock compatibility, and introduce the two-phase locking protocol with its guarantees. Additionally, you'll gain insights into how transactions acquire and release locks within this protocol, and you'll explore the concept of deadlocks and their underlying causes, equipping you with essential knowledge to manage concurrent access effectively and prevent data integrity issues in database systems.

Summative Course Assessment

This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course.

Good to know

Know what's good

, what to watch for

, 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

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.

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This comprehensive book provides an in-depth exploration of database systems and their underlying concepts, which will complement and expand upon the course material.

View Database Systems: The Complete Book on Amazon

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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

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Compiling a collection of valuable resources, tools, and documentation will provide a centralized reference for your database-related learning journey.

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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

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Reviewing SQL basics will provide a strong foundation for understanding the concepts covered in this course.

Browse courses on SQL

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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.

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Join a Study Group or Online Forum

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Engaging with peers through study groups or online forums will foster collaboration and provide diverse perspectives on the course material.

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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

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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

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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

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Regularly solving SQL coding challenges will enhance your problem-solving skills and improve your proficiency in writing efficient SQL queries.

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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

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Delve into advanced SQL techniques to expand your knowledge and explore topics not covered in the course.

Browse courses on Advanced SQL

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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

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Contributing to an open-source database project will provide practical experience in real-world database development and collaboration.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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