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Tom Taulli

In this course, you’ll learn about the core functions and practical use cases for relational databases.

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In this course, you’ll learn about the core functions and practical use cases for relational databases.

In this course, Relational Databases: The Big Picture, you’ll learn about the core functions, capabilities and use cases for relational databases. First, you’ll explore the fundamentals, such as the advantages and disadvantages, types of databases, and alternatives. Next, you’ll discover how relational databases work. This will include the architecture, design principles, and SQL (structured query language). Finally, you’ll learn about advanced features like stored procedures, object-oriented approaches, and concurrency. When you’re finished with this course, you’ll have the skills and knowledge about relational databases needed to understand the main features and uses of this powerful technology.

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What's inside

Syllabus

Course Overview
Getting to Know Relational Databases
Understanding How Relational Databases Work
Learning SQL (Structured Query Language)
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Understanding Advanced Capabilities

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops an important foundation in relational databases
Appropriate for beginners to relational database fundamentals
Introduces SQL, the standard query language for relational databases
Course materials are accessible and clear
Covers a wide range of essential relational database concepts
Taught by experienced instructor with a strong understanding of the topic

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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 Databases: The Big Picture with these activities:
Organize Study Materials and Notes
Establish a system for organizing and reviewing course materials to enhance recall.
Show steps
  • Create a dedicated folder or notebook for course materials.
  • File lecture notes, assignments, and quizzes in an organized manner.
  • Review materials regularly to reinforce learning.
  • Summarize key concepts and ideas for better retention.
Review SQL Syntax
Refresh knowledge of SQL syntax and basic concepts before starting the course.
Browse courses on SQL
Show steps
  • Refer to online resources or textbooks for SQL syntax.
  • Review the different SQL commands and their usage.
  • Try out some simple SQL queries to practice.
Follow SQL Tutorials
Supplement understanding of SQL concepts covered in the course with guided tutorials.
Browse courses on SQL
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  • Search for online tutorials on SQL basics.
  • Follow along with the tutorials and practice the examples.
  • Experiment with different SQL commands and queries.
Five other activities
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Show all eight activities
Review Fundamentals of Relational Databases
Solidify foundational concepts of relational databases covered in the course.
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  • Read chapters 1-3 of the book.
  • Summarize the key concepts of each chapter.
  • Take notes on important definitions and formulas.
  • Complete the practice exercises at the end of each chapter.
SQL Coding Practice
Develop proficiency in writing and executing SQL queries.
Browse courses on SQL
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  • Visit websites like HackerRank or LeetCode for SQL practice questions.
  • Attempt to solve 10-15 questions per practice session.
  • Review your answers and identify areas for improvement.
Volunteer at a Non-Profit Organization
Gain practical experience in data management and analysis by volunteering.
Show steps
  • Identify non-profit organizations that utilize relational databases.
  • Contact the organizations and inquire about volunteer opportunities.
  • Assist with data entry, data analysis, or database management tasks.
Design a Relational Database Schema
Apply the principles of relational database design to create a schema for a real-world scenario.
Browse courses on Database Design
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  • Choose a specific business domain or application.
  • Identify the entities and their relationships.
  • Create an ER diagram to represent the conceptual model.
  • Translate the ER diagram into a relational schema.
  • Document your design decisions and assumptions.
Develop a Database Application
Integrate knowledge of relational databases into a practical application.
Browse courses on Database Applications
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  • Define the purpose and requirements of the application.
  • Design the database schema and create the database.
  • Develop the application using a programming language of your choice.
  • Test and debug the application.
  • Deploy and maintain the application.

Career center

Learners who complete Relational Databases: The Big Picture will develop knowledge and skills that may be useful to these careers:
Database Administrator
A Database Administrator, also known as a DBA, designs, implements, and maintains databases. They ensure that data is stored and managed efficiently and securely. This course on Relational Databases: The Big Picture can help prepare you for a career as a Database Administrator by providing a solid foundation in the core functions, capabilities, and use cases for relational databases. You will also learn about SQL (structured query language), which is essential for interacting with relational databases.
Data Analyst
A Data Analyst gathers, analyzes, and interprets data to identify trends and patterns. They use this information to make recommendations and solve problems. This course on Relational Databases: The Big Picture can help prepare you for a career as a Data Analyst by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Business Analyst
A Business Analyst works with businesses to understand their needs and develop solutions to improve their operations. They often use data analysis to identify areas for improvement. This course on Relational Databases: The Big Picture can help prepare you for a career as a Business Analyst by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Software Developer
A Software Developer designs, develops, and maintains software applications. They often work with databases to store and manage data. This course on Relational Databases: The Big Picture can help prepare you for a career as a Software Developer by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for interacting with relational databases.
Data Scientist
A Data Scientist uses data to solve problems and make predictions. They often work with relational databases to store and manage data. This course on Relational Databases: The Big Picture can help prepare you for a career as a Data Scientist by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Information Security Analyst
An Information Security Analyst protects an organization's computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They often work with relational databases to store and manage security data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as an Information Security Analyst by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing security data from relational databases.
Network Administrator
A Network Administrator manages and maintains an organization's computer networks. They often work with relational databases to store and manage network data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Network Administrator by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing network data from relational databases.
Statistician
A Statistician collects, analyzes, and interprets data. They often work with relational databases to store and manage data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Statistician by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They often work with relational databases to store and manage data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Financial Analyst by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing financial data from relational databases.
Data Engineer
A Data Engineer builds and maintains data pipelines. They work with businesses to understand their needs and create data pipelines that meet those needs. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Data Engineer by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for building and maintaining data pipelines.
Actuary
An Actuary uses mathematics to assess risk and uncertainty. They often work with relational databases to store and manage data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as an Actuary by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses make better decisions. They often work with relational databases to store and manage data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Business Intelligence Analyst by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. They often work with relational databases to store and manage data. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Machine Learning Engineer by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for extracting and analyzing data from relational databases.
Data Warehouse Architect
A Data Warehouse Architect designs and develops data warehouses. They work with businesses to understand their needs and create data warehouses that meet those needs. This course on Relational Databases: The Big Picture may be useful for preparing for a career as a Data Warehouse Architect by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for designing and developing data warehouses.
Database Designer
A Database Designer designs and develops databases. They work with businesses to understand their needs and create databases that meet those needs. This course on Relational Databases: The Big Picture can help prepare you for a career as a Database Designer by providing a foundation in the fundamentals of relational databases, including their advantages and disadvantages, types of databases, and alternatives. You will also learn about SQL, which is essential for designing and developing relational databases.

Reading list

We've selected ten 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 Databases: The Big Picture.
Provides a comprehensive overview of database administration. It covers topics such as database backup and recovery, performance tuning, and security. It good choice for students who want to learn how to manage and maintain relational databases.
This textbook provides a comprehensive overview of relational database systems, covering topics such as database design, query processing, and transaction management. It valuable resource for students and professionals who want to learn more about the fundamentals of relational databases.
Provides a comprehensive overview of data warehousing. It covers topics such as data warehouse design, data integration, and data analysis. It good choice for students who want to learn more about data warehousing.
Provides a comprehensive overview of data mining. It covers topics such as data mining algorithms, data mining techniques, and data mining applications. It good choice for students who want to learn more about data mining.
Provides a comprehensive overview of machine learning. It covers topics such as machine learning algorithms, machine learning techniques, and machine learning applications. It good choice for students who want to learn more about machine learning.
Provides a comprehensive overview of deep learning. It covers topics such as deep learning algorithms, deep learning techniques, and deep learning applications. It good choice for students who want to learn more about deep learning.
Provides a comprehensive overview of reinforcement learning. It covers topics such as reinforcement learning algorithms, reinforcement learning techniques, and reinforcement learning applications. It good choice for students who want to learn more about reinforcement learning.
Provides a comprehensive overview of computer vision. It covers topics such as computer vision algorithms, computer vision techniques, and computer vision applications. It good choice for students who want to learn more about computer vision.
Provides a comprehensive overview of data science. It covers topics such as data science tools, data science techniques, and data science applications. It good choice for students who want to learn more about data science.

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