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Erik Herman
Welcome to Fundamentals of Data Warehousing, the third course of the Key Technologies of Data Analytics specialization. By enrolling in this course, you are taking the next step in your career in data analytics. This course is the third of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of data warehousing. You will learn about the primary components of data warehousing. We’ll go through the common data warehousing architectures. The hands-on material offers to add storage to your cloud environment and configure a database. This course covers a wide variety of topics that are critical for understanding data warehousing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
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What's inside
Syllabus
Concepts
In the first module of the course, we'll learn about the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile. By the end of this module, you will know how to identify these data warehousing characteristics and their use cases. So let's get started!
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Syllabus
Concepts
In the first module of the course, we'll learn about the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile. By the end of this module, you will know how to identify these data warehousing characteristics and their use cases. So let's get started!
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Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Examines core components of data warehousing, including ETL, ELT and metadata, which are foundational for data analytics
Teaches key design strategies and architectures, preparing learners to design effective data warehouses
Taught by Erik Herman, an experienced data warehousing professional, providing in-field insights
Explores data warehousing concepts like subject-orientation and time-variance, essential for comprehensive data analysis
May require foundational knowledge in data management or data analysis
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Reviews summary
Foundational data warehousing concepts and practice
According to students, 'Fundamentals of Data Warehousing' offers a solid introductory foundation into the field. Learners found it to be a clear and well-structured overview of core data warehousing concepts, including subject-oriented, integrated, time-variant, and nonvolatile data. The course effectively introduces primary components like ETL/ELT and various design and architectural approaches. While it provides valuable introductory hands-on material, some highlight its foundational, not in-depth nature, suggesting it's best as a starting point. Overall, it's considered a strong first step for those building skills in data analytics.
Serves as an excellent overview, but not an in-depth technical dive.
"This course is truly a 'fundamentals' overview; don't expect deep dives into advanced optimization techniques."
"I found it to be a good starting point, but I'll definitely need more specialized resources for advanced topics."
"While it covers a wide variety of topics, it's more of an introduction rather than a comprehensive technical guide."
The course's pace and structure are suitable for beginners.
"As someone new to data warehousing, I found the pace just right for absorbing all the new information."
"The course flow was logical and well-organized, making even complex topics digestible and easy to follow."
"It was easy to follow along, especially with the clear explanations and modular approach provided by the instructors."
Offers foundational practical experience with cloud and databases.
"The hands-on activities to add storage to a cloud environment were a great starting point for practical application."
"Configuring a database provided valuable introductory practice, though I would have liked more complex scenarios."
"It's good to get some practical exposure, even if it's just the basics of setting up and configuring elements."
Provides a solid understanding of common data warehousing architectures.
"The section on single, two, and three-tier architectures was exceptionally well-explained and easy to visualize."
"Gained a much clearer perspective on various design approaches for data warehouses, which is essential for planning."
"Understanding the different architectural models is critical for anyone in data, and this course delivered valuable insights."
Introduces essential data warehousing components effectively.
"The module on ETL/ELT processes and metadata was particularly useful for providing real-world context."
"It gave a good overview of database structures and the various tools involved in data warehousing systems."
"I appreciated learning about the different components, especially how they fit together in a functional data warehouse."
Explains fundamental data warehousing concepts well.
"The course really helped me grasp the core concepts like subject-oriented and time-variant data, which were clearly explained."
"I found the explanations of the four data warehousing characteristics very clear and easy to follow, making complex ideas accessible."
"Understanding nonvolatile and integrated data became much clearer after completing the first module; it's a great foundation."
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 Fundamentals of Data Warehousing with these
activities:
Prepare for course by reviewing database structures
Show steps
Database structure is a core concept in this course and refreshing this knowledge will be beneficial
Show steps
-
Review articles and tutorials on database structures
-
Complete practice problems on database structures
Read 'Data Warehousing Fundamentals' by Ralph Kimball
Show steps
This book provides a solid foundation for data warehousing concepts
View
The Kimball Group Reader
on Amazon
Show steps
-
Purchase or borrow the book
-
Read the book and take notes
Follow SQL tutorials
Show steps
SQL is a common language used in data warehousing and proficiency in SQL is needed
Browse courses on
SQL
Show steps
-
Find online tutorials on SQL
-
Follow the tutorials and complete the exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group
Show steps
Discussing concepts with peers can help clarify understanding
Browse courses on
Data Warehousing
Show steps
-
Find a study group for data warehousing
-
Attend study group meetings and participate in discussions
Practice data warehousing exercises
Show steps
Practice will help solidify concepts and skills
Browse courses on
Data Warehousing
Show steps
-
Find practice problems on data warehousing
-
Solve the problems and review your answers
Attend a data warehousing workshop
Show steps
Workshops can provide a deeper dive into specific topics
Browse courses on
Data Warehousing
Show steps
-
Find a data warehousing workshop
-
Register and attend the workshop
Design a data warehouse
Show steps
Designing a data warehouse will provide hands-on experience
Browse courses on
Data Warehouse Design
Show steps
-
Gather requirements for the data warehouse
-
Design the data warehouse schema
-
Implement the data warehouse
Prepare for course by reviewing database structures
Show steps
Database structure is a core concept in this course and refreshing this knowledge will be beneficial
Show steps
Show steps
Show steps
- Review articles and tutorials on database structures
- Complete practice problems on database structures
Read 'Data Warehousing Fundamentals' by Ralph Kimball
Show steps
This book provides a solid foundation for data warehousing concepts
View
The Kimball Group Reader
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book
- Read the book and take notes
Follow SQL tutorials
Show steps
SQL is a common language used in data warehousing and proficiency in SQL is needed
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online tutorials on SQL
- Follow the tutorials and complete the exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group
Show steps
Discussing concepts with peers can help clarify understanding
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Find a study group for data warehousing
- Attend study group meetings and participate in discussions
Practice data warehousing exercises
Show steps
Practice will help solidify concepts and skills
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Find practice problems on data warehousing
- Solve the problems and review your answers
Attend a data warehousing workshop
Show steps
Workshops can provide a deeper dive into specific topics
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Find a data warehousing workshop
- Register and attend the workshop
Design a data warehouse
Show steps
Designing a data warehouse will provide hands-on experience
Browse courses on
Data Warehouse Design
Show steps
Show steps
Show steps
- Gather requirements for the data warehouse
- Design the data warehouse schema
- Implement the data warehouse
Career center
Learners who complete Fundamentals of Data Warehousing will develop knowledge and skills
that may be useful to these careers:
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing, implementing, and managing data warehouses. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to build and maintain a successful data warehouse.
Data Warehouse Analyst
Data Warehouse Analyst
A Data Warehouse Analyst is responsible for analyzing data from a data warehouse to identify trends and patterns. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to analyze data from a data warehouse effectively.
Data Warehouse Manager
Data Warehouse Manager
A Data Warehouse Manager is responsible for overseeing the day-to-day operations of a data warehouse. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to manage a data warehouse effectively.
Data Architect
Data Architect
A Data Architect is responsible for designing and implementing data management solutions. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to design and implement effective data management solutions.
Data Scientist
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to use data to solve business problems effectively.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help Business Analysts to identify opportunities for improvement in business processes.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to manage and maintain databases effectively.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help Software Engineers to design and develop software applications that can effectively use data.
IT Manager
IT Manager
An IT Manager is responsible for managing the IT infrastructure of an organization. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help IT Managers to make informed decisions about the IT infrastructure of their organization.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help Project Managers to plan and execute projects that involve data warehousing.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to design, build, and maintain data pipelines effectively.
Database Developer
Database Developer
A Database Developer is responsible for designing and developing databases. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge is essential for anyone who wants to design and develop databases effectively.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help Data Analysts to collect, clean, and analyze data effectively.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for using data to make informed decisions. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help Business Intelligence Analysts to use data to make informed decisions effectively.
Data Visualization Analyst
Data Visualization Analyst
A Data Visualization Analyst is responsible for creating visual representations of data. This course provides a solid foundation in the core concepts of data warehousing, including subject-oriented, integrated, time-variant, and nonvolatile data. It also covers the primary components of data warehousing, including database structures, ETL and ELT, metadata, and tools. This knowledge can help Data Visualization Analysts to create visual representations of data effectively.
For more career information including salaries, visit:
OpenCourser.com/course/uxp5i4/fundamentals
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
Fundamentals of Data Warehousing.
Provides a comprehensive overview of data warehousing fundamentals, including design, implementation, and maintenance. It valuable resource for both beginners and experienced data warehousing professionals.
Classic in the field of data warehousing and provides a practical guide to designing and implementing data warehouses.
Provides a practical guide to building data warehouses, with a focus on SQL and Oracle. It covers all aspects of data warehousing, from design to implementation to maintenance.
Provides a practical guide to managing the data warehouse lifecycle, from design to implementation to maintenance. It valuable resource for both beginners and experienced data warehousing professionals.
Provides a modern approach to data warehouse design, with a focus on agile development and cloud computing. It valuable resource for both beginners and experienced data warehousing professionals.
Provides a comprehensive guide to designing and implementing data warehouses using Oracle.
Comprehensive guide to dimensional modeling, the most widely used data modeling technique for data warehousing. It provides a step-by-step approach to designing and implementing dimensional data warehouses.
Provides a comprehensive guide to designing and implementing data warehouses using IBM DB2.
Provides a practical guide to data warehouse design, from requirements gathering to schema design to performance tuning. It valuable resource for both beginners and experienced data warehousing professionals.
Provides a comprehensive guide to designing and implementing data warehouses using Google BigQuery.
Classic in the field of data warehousing and provides a comprehensive overview of the subject.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uxp5i4/fundamentals
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This course belongs to a
collection
called
Key Technologies in Data Analytics. It's comprised of four courses:
- Fundamentals of Cloud Computing
- Fundamentals of Data Analysis
- Fundamentals of Big Data
- Fundamentals of Data Warehousing (viewing)
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