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What's inside
Syllabus
Module 1: Fundamentals of Relational Database Design
In this module, you will delve into the importance and application of relational database design principles to optimize data integrity and performance. You will explore normalization techniques to structure databases and implement key constraints to maintain data integrity. The lessons include practical exercises, such as analyzing existing database structures for improvement opportunities, and emphasize the real-world business impact of effective database design.
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Syllabus
Module 1: Fundamentals of Relational Database Design
In this module, you will delve into the importance and application of relational database design principles to optimize data integrity and performance. You will explore normalization techniques to structure databases and implement key constraints to maintain data integrity. The lessons include practical exercises, such as analyzing existing database structures for improvement opportunities, and emphasize the real-world business impact of effective database design.
Read more
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Relational Database Design and Advanced Querying.
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Career center
Learners who complete Relational Database Design and Advanced Querying will develop knowledge and skills
that may be useful to these careers:
Database Architect
Database Architect
A Database Architect designs and plans an organization's database systems, defining their structure, security, and operational models. This course is exceptionally well-suited for aspiring Database Architects, focusing deeply on relational database design principles, normalization, and entity-relationship modeling. You will learn schema optimization and how to apply DDL commands to manage dynamic database schemas, ensuring scalability and integrity. The course also covers data warehousing concepts like star schema, providing a holistic view of data infrastructure. This role often requires an advanced degree for senior positions, and the course builds critical foundational knowledge.
Database Administrator
Database Administrator
A Database Administrator is crucial for managing and maintaining an organization's databases, ensuring their performance, security, and integrity. This course provides comprehensive knowledge in relational database design principles and implementation using SQL Server, directly equipping learners for this role. You will learn to apply DDL statements to build and modify database objects and enforce data integrity through constraints, which are core responsibilities of a Database Administrator. The advanced querying section and schema optimization techniques are also directly applicable to monitoring and improving database efficiency, helping you succeed in managing complex data environments effectively.
Data Modeler
Data Modeler
A Data Modeler designs conceptual, logical, and physical data models to organize and visualize data, ensuring consistency and efficiency. This course is precisely aligned with the needs of a Data Modeler. You will develop expertise in relational database design principles, normalization techniques, and entity-relationship modeling, which are the cornerstones of data modeling. Learning schema optimization and how to use DDL statements to implement and manage database schemas equips you to translate business requirements into effective data structures. This role often requires an advanced degree, and the course provides a critical skill set in data architecture.
SQL Developer
SQL Developer
As a SQL Developer, you build and maintain database solutions, writing queries and scripts to manage data and support applications. This course is exceptionally tailored for aspiring SQL Developers. It thoroughly covers advanced querying techniques, including complex joins, subqueries, and CTEs, which are essential for extracting and manipulating data effectively. Furthermore, expertise in DDL statements for creating and modifying schemas and enforcing data integrity through constraints provides a robust foundation for developing resilient and efficient database components. This course explicitly enhances the practical skills needed to design and implement sophisticated data structures.
Database Performance Tuning Specialist
Database Performance Tuning Specialist
A Database Performance Tuning Specialist identifies and resolves database bottlenecks to ensure optimal system speed and efficiency. This course is directly relevant for a Database Performance Tuning Specialist. You will learn schema optimization techniques and gain expertise in evaluating and optimizing SQL queries for improved performance, which are core aspects of this role. Understanding relational database design principles, normalization, and enforcing data integrity through constraints helps create efficient structures from the outset, preventing common performance issues. This knowledge is crucial for diagnosing and enhancing database responsiveness.
Business Intelligence Developer
Business Intelligence Developer
A Business Intelligence Developer designs and implements systems that transform data into actionable insights for strategic decision-making. This course is particularly relevant for those pursuing a Business Intelligence Developer career, as it dedicates a module to data warehousing and business intelligence with SQL Server. You will explore star schema modeling, learn to create and query data warehouses, and integrate them with BI tools like Power BI to visualize trends. The expertise in advanced querying and efficient database design principles directly supports building robust and performant BI solutions for comprehensive data presentation and analysis.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure for data processing, ensuring data is accessible, reliable, and scalable. This course significantly prepares you for a Data Engineer role by developing your expertise in relational database design principles, normalization techniques, and schema optimization to create efficient data structures. Understanding DDL statements for building database objects and enforcing data integrity is vital for constructing robust data pipelines. Furthermore, the exploration of data warehousing concepts and advanced querying skills are directly applicable to extracting, transforming, and loading data, which are core responsibilities in this field.
ETL Developer
ETL Developer
An ETL Developer designs and implements processes to extract data from various sources, transform it, and load it into data warehouses or other target systems. This course offers highly relevant skills for an ETL Developer. The advanced querying section, covering complex joins, subqueries, and CTEs, is essential for data extraction and transformation. Furthermore, understanding relational database design, normalization techniques, and data warehousing concepts, including star schema modeling, is crucial for designing efficient ETL pipelines and ensuring data integrity when loading into complex data structures, preparing you for robust data management.
Data Analyst
Data Analyst
A Data Analyst transforms raw data into understandable insights, guiding business decisions. For those aspiring to become a Data Analyst, this course offers invaluable skills in advanced querying techniques, including aggregate functions and grouping, which are fundamental for data summarization and extracting meaningful insights. Understanding relational database design and schema optimization helps you comprehend data structures and retrieve information efficiently. The exposure to data warehousing concepts and leveraging GenAI for query development further enhances your ability to perform sophisticated data analysis and present data-driven recommendations that impact strategic outcomes.
Analytics Engineer
Analytics Engineer
An Analytics Engineer bridges the gap between data engineering and data analysis, building data models that enable self-service analytics and robust reporting. This course is highly relevant for aspiring Analytics Engineers. Your expertise in advanced querying, including complex joins and CTEs, is critical for transforming raw data into analytics-ready datasets. Understanding relational database design, schema optimization, and data warehousing concepts like star schema allows you to build efficient and logical data models. The course also equips you with the skills to ensure data integrity, which is paramount for reliable analytics.
Report Developer
Report Developer
A Report Developer creates and maintains reports and dashboards that present key business insights to stakeholders. This course offers valuable preparation for a Report Developer role. Your mastery of advanced querying techniques, including aggregate functions and grouping, is fundamental for summarizing and structuring data for reports. Furthermore, the module on data warehousing and business intelligence with SQL Server, covering star schema modeling and integration with tools like Power BI, directly applies to sourcing and visualizing data for comprehensive reporting. This skillset helps in delivering clear, insightful, and strategic data presentations.
Data Governance Specialist
Data Governance Specialist
A Data Governance Specialist develops and implements policies and procedures to ensure the quality, integrity, and compliance of an organization's data assets. This course may be useful for a Data Governance Specialist. The emphasis on enforcing data integrity through constraints and understanding normalization techniques for structuring databases are direct contributions. Knowledge of entity-relationship modeling and schema optimization helps in defining data standards and identifying potential data quality issues at the design level. This understanding is foundational for establishing robust data governance frameworks.
Technical Data Consultant
Technical Data Consultant
A Technical Data Consultant advises clients on data strategies, database solutions, and system optimizations. This course provides comprehensive expertise highly relevant for a Technical Data Consultant. You will gain deep knowledge in relational database design principles, schema optimization, and advanced querying techniques, allowing you to recommend efficient and scalable data solutions. The understanding of data warehousing concepts and the application of GenAI for query development further strengthens your ability to propose innovative and effective data architectures and analysis strategies, addressing complex client business requirements with confidence and precision.
Database Security Analyst
Database Security Analyst
A Database Security Analyst protects an organization's databases from unauthorized access and cyber threats, focusing on data integrity and compliance. This course may be useful for a Database Security Analyst as it teaches the enforcement of data integrity through constraints and the design of robust database structures. Understanding relational database design principles, schema optimization, and how DDL statements build and modify database objects provides a foundational knowledge of database vulnerabilities and how secure designs can mitigate risks. Grasping the underlying architecture of relational databases helps in implementing effective security measures.
Machine Learning Data Engineer
Machine Learning Data Engineer
A Machine Learning Data Engineer prepares and manages data specifically for machine learning models, ensuring it is clean, structured, and accessible. This course may be useful for a Machine Learning Data Engineer. The skills in advanced querying, including complex joins and aggregate functions, are essential for extracting and transforming features from relational databases. Understanding relational database design, normalization techniques, and schema optimization helps in creating efficient data structures that support scalable machine learning pipelines. This role often requires an advanced degree, and the course builds a vital foundation in data management.
For more career information including salaries, visit:
OpenCourser.com/course/g609ou/relational
Reading list
We haven't picked any books for this reading list yet.
Provides a comprehensive overview of relational database design and implementation using SQL Server 2012. It covers all aspects of relational database design, from data modeling to query optimization. It valuable resource for database designers and developers who want to learn how to design and implement high-performance relational databases on SQL Server.
Is an advanced textbook on relational database design. It covers advanced topics such as data warehousing, data mining, and object-oriented database design. It valuable resource for database designers and developers who want to learn about the latest advances in relational database design.
Practical guide to relational database design. It provides step-by-step instructions on how to design and implement a relational database, from gathering requirements to creating tables and indexes. It valuable resource for both beginners and experienced database designers who want to improve their skills.
Provides a practical guide to relational database design and optimization. It covers all aspects of relational database design, from data modeling to query optimization. It valuable resource for database designers and developers who want to learn how to design and implement high-performance relational databases.
Classic in the field of relational database design. It provides a comprehensive overview of the entity-relationship model, which popular data modeling technique. It valuable resource for database designers and developers who want to learn how to design and implement relational databases using the entity-relationship model.
Concise and approachable introduction to relational database design. It covers the basics of relational database theory, including data modeling, normalization, and query optimization. It is an excellent resource for beginners who want to learn the fundamentals of relational database design in a clear and organized manner.
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Provides a clear and concise introduction to relational database design and implementation. It covers all aspects of relational database design, from data modeling to query optimization. It valuable resource for beginners who want to learn the fundamentals of relational database design in a clear and organized manner.
Guide to designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing. It valuable resource for software engineers who want to learn how to design and build scalable and efficient data-intensive applications.
Focuses on using SQL Server for data analytics, covering data exploration, visualization, and statistical analysis.
Provides a deep dive into SQL Server Reporting Services (SSRS), covering report design, data sources, security, and more.
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Covers the security features and best practices for SQL Server. It provides guidance on authentication, authorization, encryption, and more.
Delves into the performance optimization techniques for SQL Server. It covers indexing, query tuning, hardware optimization, and more.
This concise guide provides a quick and easy way to learn about SQL Server's features and capabilities. It covers everything from installation and configuration to performance tuning and security.
This comprehensive guide covers all aspects of SQL Server 2019, including installation, configuration, administration, and more.
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As part of the popular Dummies series, this book offers a friendly and approachable introduction to SQL Server. It covers a wide range of topics, making it suitable for both beginners and those with some experience.
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Provides a comprehensive overview of SQL Server, including its history, architecture, and key features.
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Provides a comprehensive overview of big data analytics. It covers all the essential aspects of big data analytics, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Provides a comprehensive overview of data warehousing for beginners. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The author is an expert in the field and provides a wealth of practical advice.
Provides a comprehensive overview of data warehousing with SQL Server 2019. It covers all the essential aspects of data warehousing, including data integration, data modeling, data storage, and data analysis. The authors are experts in the field and provide a wealth of practical advice.
Classic in the field of data warehousing. It provides a comprehensive overview of dimensional modeling, which key concept in data warehousing. The authors are experts in the field and provide a wealth of practical advice.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g609ou/relational
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Effort
3 weeks/8-10 Hours per week
Level
Introductory
Via
Coursera
Institution
Microsoft
Instructor
Microsoft
Session
October 27, 2025
- December 1, 2025
Language
English
Transcript
Español
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