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Ben Sullins
The star schema is at the heart of a good business intelligence system. This course will teach you the foundations you need to build a star schema and deliver powerful business intelligence to your users.
Read more
The star schema is at the heart of a good business intelligence system. This course will teach you the foundations you need to build a star schema and deliver powerful business intelligence to your users.
Read more
The star schema is at the heart of a good business intelligence system. This course will teach you the foundations you need to build a star schema and deliver powerful business intelligence to your users.
At the core of business intelligence is a thorough knowledge of star schema design and architecture. In Star Schema Foundations, you will learn how to model a star schema after a business process and convert your transactional database into an analytics powerhouse. You will learn dimensional modeling, the Kimball Method, dimension table design, and finally fact table design. When you're finished with this course, you will have a foundational knowledge of star schema design and architecture that will help you as you move forward towards developing business intelligence solutions.
Register for this course and see more details by visiting:
OpenCourser.com/course/tlzsyj/star
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What's inside
Syllabus
Course Overview
Getting Started
Understanding the Business Intelligence Ecosystem
Understanding Star Schema Design
Read more
Syllabus
Course Overview
Getting Started
Understanding the Business Intelligence Ecosystem
Understanding Star Schema Design
Read more
Modeling Your Data into a Star Schema
Choosing a Business Process
Defining the Grain
Identifying Facts
Identifying Dimensions
Querying a Star Schema
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Taught by Ben Sullins, a respected name in the business intelligence industry
Explores dimensional modeling, a foundational concept in data warehousing
Introduces learners to the Kimball Method, widely used for star schema design
Strengthens foundational knowledge of data modeling for business intelligence applications
Offers a detailed understanding of star schema architecture, essential for data analysts
Save this course
Save Star Schema Foundations to your list so you can find it easily later:
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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 Star Schema Foundations with these
activities:
Seek Mentorship from Senior Data Engineers
Show steps
Enhance your learning by seeking mentorship from experienced data engineers who specialize in star schema design.
Show steps
-
Identify potential mentors
-
Reach out and request guidance
Course Material Compilation
Show steps
Enhance your learning by organizing course materials, including notes, assignments, and quizzes, for easy reference.
Show steps
-
Gather course materials
-
Create a structured folder system
SQL Refresher
Show steps
Brush up on your SQL skills to ensure a solid foundation for understanding star schema design and architecture.
Browse courses on
SQL
Show steps
-
Review SQL syntax and commands
-
Practice writing SQL queries
-
Complete online SQL tutorials or exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Show steps
Gain a deeper understanding of dimensional modeling, a foundational concept for star schema design.
View
The Data Warehouse Toolkit
on Amazon
Show steps
-
Read chapters 1-3 to grasp the basics of dimensional modeling
-
Review the case studies to see real-world applications
Star Schema Design Tutorials
Show steps
Supplement your understanding by following guided tutorials that demonstrate star schema design principles.
Show steps
-
Explore online tutorials on star schema design
-
Follow along with step-by-step instructions
Dimensional Modeling Exercises
Show steps
Reinforce your understanding of dimensional modeling through repetitive exercises and practice.
Browse courses on
Dimensional Modeling
Show steps
-
Solve dimensional modeling problems
-
Participate in online forums to discuss solutions
Star Schema Design Project
Show steps
Apply your understanding by designing a star schema for a given business scenario.
Show steps
-
Identify the business requirements
-
Model the data using dimensional modeling techniques
-
Create a physical star schema in a database
Mentoring Junior Data Analysts
Show steps
Deepen your understanding by mentoring junior data analysts on star schema design concepts.
Show steps
-
Identify opportunities to mentor
-
Share your knowledge and provide guidance
Seek Mentorship from Senior Data Engineers
Show steps
Enhance your learning by seeking mentorship from experienced data engineers who specialize in star schema design.
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and request guidance
Course Material Compilation
Show steps
Enhance your learning by organizing course materials, including notes, assignments, and quizzes, for easy reference.
Show steps
Show steps
Show steps
- Gather course materials
- Create a structured folder system
SQL Refresher
Show steps
Brush up on your SQL skills to ensure a solid foundation for understanding star schema design and architecture.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL syntax and commands
- Practice writing SQL queries
- Complete online SQL tutorials or exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Show steps
Gain a deeper understanding of dimensional modeling, a foundational concept for star schema design.
View
The Data Warehouse Toolkit
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to grasp the basics of dimensional modeling
- Review the case studies to see real-world applications
Star Schema Design Tutorials
Show steps
Supplement your understanding by following guided tutorials that demonstrate star schema design principles.
Show steps
Show steps
Show steps
- Explore online tutorials on star schema design
- Follow along with step-by-step instructions
Dimensional Modeling Exercises
Show steps
Reinforce your understanding of dimensional modeling through repetitive exercises and practice.
Browse courses on
Dimensional Modeling
Show steps
Show steps
Show steps
- Solve dimensional modeling problems
- Participate in online forums to discuss solutions
Star Schema Design Project
Show steps
Apply your understanding by designing a star schema for a given business scenario.
Show steps
Show steps
Show steps
- Identify the business requirements
- Model the data using dimensional modeling techniques
- Create a physical star schema in a database
Mentoring Junior Data Analysts
Show steps
Deepen your understanding by mentoring junior data analysts on star schema design concepts.
Show steps
Show steps
Show steps
- Identify opportunities to mentor
- Share your knowledge and provide guidance
Career center
Learners who complete Star Schema Foundations will develop knowledge and skills
that may be useful to these careers:
Business Analyst
Business Analyst
Business Analysts describe the needs of a business to IT professionals and help IT staff understand the business's perspective to technological implementations. Star schema design is a critical component of business intelligence systems. This course will give you the foundation in this schema design to start or advance your career as a Business Analyst.
Data Analyst
Data Analyst
Data Analysts gather, clean, and analyze data to translate into useful insights. They use statistical software and programming languages to examine raw data and extract meaningful conclusions. Having a thorough understanding of star schema design and architecture will help you build a foundation for a successful career as a Data Analyst.
Database Administrator (DBA)
Database Administrator (DBA)
Database Administrators (DBAs) are responsible for the installation, configuration, maintenance, performance, and backup of databases. Star schemas are the most widely used database design for data warehousing. Taking this course will expand your knowledge on star schemas to be successful in your role as a DBA.
Data Architect
Data Architect
Data Architects design, build, and maintain the architecture of data systems. They ensure that data is stored, managed, and used in a way that meets the needs of the business. A strong foundation in star schema design is a must-have skill for a Data Architect. This course will help you toward that foundational knowledge.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines that collect, transform, and load data into data warehouses and data lakes. They work closely with data architects to ensure that the data is structured and organized in a way that meets the needs of the business. This course will introduce you to star schema design and architecture, which is a foundational skill for Data Engineers.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data analysis to help businesses make informed decisions. They identify trends, patterns, and insights in data to provide actionable recommendations to stakeholders. This course will teach you about star schema design and architecture, which will be a valuable tool for success as a Business Intelligence Analyst.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help businesses and organizations make informed decisions. They use statistical methods to draw meaningful conclusions from data to inform business strategy. Star schema design is a foundational skill for statisticians, and taking this course will help you build a strong foundation in this area.
Marketing Analyst
Marketing Analyst
Marketing Analysts collect, analyze, and interpret data to help businesses understand their customers and make informed marketing decisions. They use data to identify trends, patterns, and insights to develop and implement effective marketing campaigns. Building a foundation in star schema design may be useful to those in and looking to get into Marketing Analyst roles.
Information Technology (IT) Manager
Information Technology (IT) Manager
IT Managers plan, implement, and manage the technology systems and infrastructure of an organization. They work closely with other departments to ensure that technology is aligned with the business's needs. Building a foundation in star schema design may be useful to those in and looking to get into IT Manager roles.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems. They use data to identify and develop solutions to improve efficiency, productivity, and profitability. Understanding star schema design may be useful as an Operations Research Analyst.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. They work closely with other members of the development team to ensure that software meets the needs of the business. A foundational understanding of star schema design may be useful as a Software Developer.
Data Scientist
Data Scientist
Data Scientists use scientific methods to extract knowledge and insights from data. They use a variety of techniques, including machine learning and artificial intelligence, to build predictive models and solve business problems. Knowing star schema design may be helpful for Data Scientists.
Project Manager
Project Manager
Project Managers plan, execute, and manage projects to achieve specific goals and objectives. They work closely with stakeholders to ensure that projects are completed on time, within budget, and to the required quality. Building a foundation in star schema design may be useful for Project Managers.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make informed investment decisions. They analyze financial statements, market trends, and economic data to identify investment opportunities. Knowing star schema design may be helpful for Financial Analysts.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work with insurance companies, pension funds, and other financial institutions to develop and manage risk management strategies. Having a foundational knowledge of star schema design may be useful for Actuaries.
For more career information including salaries, visit:
OpenCourser.com/course/tlzsyj/star
Reading list
We've selected nine 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
Star Schema Foundations.
Is an industry standard on dimensional modeling, the foundational theory behind star schema design. It provides a thorough grounding in star schema modeling principles and best practices.
Introduces the Data Vault 2.0 methodology, an alternative to dimensional modeling for data warehousing. It covers the principles, best practices, and tools for building a scalable and agile data warehouse.
Compilation of Ralph Kimball's writings on data warehousing, including articles, presentations, and white papers. It provides a valuable resource for anyone interested in gaining a deeper understanding of Kimball's philosophy and approach to data warehousing.
Provides a comprehensive guide to the data warehousing lifecycle, from planning and design to implementation and maintenance. It covers the tools and techniques needed to build and manage a successful data warehouse.
Provides a broad overview of data warehousing concepts, technologies, and applications. It covers the entire data warehousing lifecycle, from data extraction and transformation to data analysis and reporting.
Provides a comprehensive guide to ETL (extract, transform, load) processes in data warehousing. It covers the tools and techniques for extracting data from various sources, cleaning and transforming the data, and loading it into a data warehouse.
Provides a comprehensive overview of data warehousing architecture and implementation. It covers the different types of data warehouses, the tools and technologies used to build them, and the best practices for managing and maintaining them.
Provides a comprehensive overview of data integration best practices and techniques. It covers the challenges and pitfalls of data integration, and offers practical advice on how to overcome them.
Provides a practical guide to analyzing big data using tools and techniques. It covers the entire big data analytics lifecycle, from data collection and preparation to data analysis and visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tlzsyj/star
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Time
149 hours
Level
Introductory
Via
Pluralsight
Instructor
Ben Sullins
Language
English
Good to know
Taught by Ben Sullins, a respected name in the business intelligence industry
Explores dimensional modeling, a foundational concept in data warehousing
Introduces learners to the Kimball Method, widely used for star schema design
Strengthens foundational knowledge of data modeling for business intelligence applications
Offers a detailed understanding of star schema architecture, essential for data analysts
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