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Relational Database Design and Advanced Querying

Microsoft

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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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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

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Reading list

We've selected 50 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 Design and Advanced Querying.

The Data Warehouse Toolkit

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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.

Relational Database Design and Advanced Querying

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