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Rav Ahuja
and
Ramesh Sannareddy
In this course you will apply a variety of data warehouse engineering skills and techniques you have learned as part of the previous courses in the IBM Data Warehouse Engineer Professional Certificate. You will assume the role of a Junior Data Engineer who has recently joined the organization and be presented with a real-world use case that requires a data warehouse engineering solution.
Register for this course and see more details by visiting:
OpenCourser.com/course/hv0icl/data
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What's inside
Syllabus
Data Platform Architecture and OLTP Database
In this module, you will design a data platform that uses MySQL as an OLTP database. You will be using MySQL to store the OLTP data.
Read more
Syllabus
Data Platform Architecture and OLTP Database
In this module, you will design a data platform that uses MySQL as an OLTP database. You will be using MySQL to store the OLTP data.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Examines data warehouse engineering skills and techniques as part of the IBM Data Warehouse Engineer Professional Certificate
Develops a solid understanding of data warehouse engineering principles and practices
Provides hands-on labs and interactive materials to reinforce learning
Assumes the role of a Junior Data Engineer, providing practical experience
Covers industry-relevant topics such as data platform architecture, ETL, and reporting
Instructed by recognized experts in the field of data warehouse engineering
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Reviews summary
Practical data warehousing project application
According to learners, this Data Warehousing Capstone Project offers a highly practical and hands-on experience, effectively consolidating prior knowledge. Students particularly value the real-world scenarios involving ETL pipeline setup and data warehouse design, finding the structured labs instrumental for skill application. While many praise its skill-building nature, some note it requires a strong foundational understanding and may feel too basic for experienced professionals seeking advanced topics. Older reviews highlighted occasional outdated tools or lab setup challenges, though more recent feedback emphasizes its continued practical value and improved stability, indicating potential course refinements.
The quality of feedback in the peer review process can vary.
"The peer review was a bit hit-or-miss depending on the reviewer."
Provides extensive hands-on application and real-world project experience.
"This capstone project was incredibly practical and hands-on. I especially appreciated the real-world scenario..."
"The project helped me connect all the dots from the previous courses in the specialization."
"I gained immense confidence in my ability to build a functional data warehouse."
"Overall, a valuable experience for consolidating skills."
Some learners encountered environment setup or lab debugging challenges.
"The labs had occasional issues and debugging them took more time than expected."
"I did encounter some environment setup challenges which took a while to resolve."
"Some of the tools and methodologies taught felt a little outdated compared to current industry practices."
Best suited for learners with a strong existing foundation in data concepts.
"It definitely requires a strong foundation from previous courses; it's not for absolute beginners."
"I was expecting a deep dive... but this course felt surprisingly basic for a 'capstone'."
"For experienced professionals, it might feel a bit slow."
"I felt some sections, particularly around performance optimization, felt a bit rushed."
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 Data Warehousing Capstone Project with these
activities:
Review Data Warehouse Concepts
Show steps
Review basic data warehouse concepts to strengthen your foundation for the course.
Browse courses on
Data Modeling
Show steps
-
Explore resources on data warehouse concepts
-
Take notes on key concepts like data marts, data integration, and ETL processes
SQL Practice for Data Warehouse Queries
Show steps
Improve your SQL skills by practicing queries specific to data warehouse environments.
Browse courses on
Data Querying
Show steps
-
Find online resources or tutorials that provide SQL practice problems
-
Solve the practice problems, focusing on writing efficient queries that leverage data warehouse features
Design a Data Warehouse Schema
Show steps
Apply your understanding of data warehouse concepts by designing a schema for a specific business use case.
Browse courses on
Data Warehouse Design
Show steps
-
Identify the business requirements for the data warehouse
-
Create a conceptual data model using tools like ER diagrams
-
Translate the conceptual model into a physical schema using SQL or a data modeling tool
Two other activities
Expand to see all activities and additional details
Show all five activities
Discuss Data Warehouse Implementations
Show steps
Engage with peers to discuss various approaches to implementing data warehouses and share best practices.
Show steps
-
Join an online forum or discussion group dedicated to data warehouse implementation
-
Participate in discussions, ask questions, and share your experiences
-
Synthesize insights from peer interactions and apply them to your own learning
Build a Mini Data Warehouse
Show steps
Apply your knowledge and skills to build a small-scale data warehouse, providing hands-on experience in the entire process.
Browse courses on
Data Engineering
Show steps
-
Define a specific use case and gather the necessary data
-
Design and implement a data warehouse schema using a tool like PostgreSQL or Redshift
-
Load data into the warehouse and perform data transformations
-
Build reports and dashboards to analyze the data and provide insights
Review Data Warehouse Concepts
Show steps
Review basic data warehouse concepts to strengthen your foundation for the course.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Explore resources on data warehouse concepts
- Take notes on key concepts like data marts, data integration, and ETL processes
SQL Practice for Data Warehouse Queries
Show steps
Improve your SQL skills by practicing queries specific to data warehouse environments.
Browse courses on
Data Querying
Show steps
Show steps
Show steps
- Find online resources or tutorials that provide SQL practice problems
- Solve the practice problems, focusing on writing efficient queries that leverage data warehouse features
Design a Data Warehouse Schema
Show steps
Apply your understanding of data warehouse concepts by designing a schema for a specific business use case.
Browse courses on
Data Warehouse Design
Show steps
Show steps
Show steps
- Identify the business requirements for the data warehouse
- Create a conceptual data model using tools like ER diagrams
- Translate the conceptual model into a physical schema using SQL or a data modeling tool
Two other activities
Expand to see all activities and additional details
Show all five activities
Discuss Data Warehouse Implementations
Show steps
Engage with peers to discuss various approaches to implementing data warehouses and share best practices.
Show steps
Show steps
Show steps
- Join an online forum or discussion group dedicated to data warehouse implementation
- Participate in discussions, ask questions, and share your experiences
- Synthesize insights from peer interactions and apply them to your own learning
Build a Mini Data Warehouse
Show steps
Apply your knowledge and skills to build a small-scale data warehouse, providing hands-on experience in the entire process.
Browse courses on
Data Engineering
Show steps
Show steps
Show steps
- Define a specific use case and gather the necessary data
- Design and implement a data warehouse schema using a tool like PostgreSQL or Redshift
- Load data into the warehouse and perform data transformations
- Build reports and dashboards to analyze the data and provide insights
Career center
Learners who complete Data Warehousing Capstone Project will develop knowledge and skills
that may be useful to these careers:
Data Warehouse Engineer
Data Warehouse Engineer
A Data Warehouse Engineer designs and builds data warehouses, which are used to store and manage large amounts of data. This course will provide you with the skills and knowledge you need to design and build a data warehouse, including how to choose the right data warehouse platform, how to design the data warehouse schema, and how to load data into the data warehouse. You will also learn how to use data warehousing tools and technologies, such as SQL and ETL tools.
Data Analyst
Data Analyst
A Data Analyst uses data to help businesses make better decisions. This course will provide you with the skills and knowledge you need to become a Data Analyst, including how to collect data, clean data, analyze data, and visualize data. You will also learn how to use data analysis tools and technologies, such as SQL, Python, and R.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses improve their performance. This course will provide you with the skills and knowledge you need to become a Business Intelligence Analyst, including how to identify business problems, collect data, analyze data, and develop recommendations. You will also learn how to use business intelligence tools and technologies, such as SQL, Excel, and Power BI.
Data Scientist
Data Scientist
A Data Scientist uses data to solve complex problems. This course will provide you with the skills and knowledge you need to become a Data Scientist, including how to collect data, clean data, analyze data, and build models. You will also learn how to use data science tools and technologies, such as SQL, Python, and R.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines. This course will provide you with the skills and knowledge you need to become a Data Engineer, including how to design data pipelines, build data pipelines, and monitor data pipelines. You will also learn how to use data engineering tools and technologies, such as SQL, Python, and Airflow.
Database Administrator
Database Administrator
A Database Administrator manages databases. This course will provide you with the skills and knowledge you need to become a Database Administrator, including how to install databases, configure databases, and maintain databases. You will also learn how to use database administration tools and technologies, such as SQL, MySQL, and PostgreSQL.
ETL Developer
ETL Developer
An ETL Developer builds and maintains ETL pipelines. This course will provide you with the skills and knowledge you need to become an ETL Developer, including how to design ETL pipelines, build ETL pipelines, and monitor ETL pipelines. You will also learn how to use ETL tools and technologies, such as SQL, Python, and Airflow.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software. This course may be useful for Software Engineers who want to learn how to develop data warehouse solutions. You will learn how to design data warehouse architectures, how to build data warehouse ETL pipelines, and how to use data warehouse tools and technologies.
Data Architect
Data Architect
A Data Architect designs and builds data architectures. This course may be useful for Data Architects who want to learn how to design data warehouse architectures. You will learn how to design data warehouse architectures, how to build data warehouse ETL pipelines, and how to use data warehouse tools and technologies.
Business Analyst
Business Analyst
A Business Analyst analyzes business problems and develops solutions. This course may be useful for Business Analysts who want to learn how to use data to solve business problems. You will learn how to collect data, clean data, analyze data, and develop recommendations.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course may be useful for Project Managers who want to learn how to manage data warehouse projects. You will learn how to plan data warehouse projects, how to execute data warehouse projects, and how to close data warehouse projects.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and manages data governance policies. This course may be useful for Data Governance Analysts who want to learn how to develop data warehouse governance policies. You will learn how to design data warehouse governance policies, how to implement data warehouse governance policies, and how to monitor data warehouse governance policies.
Data Quality Analyst
Data Quality Analyst
A Data Quality Analyst ensures that data is accurate, consistent, and complete. This course may be useful for Data Quality Analysts who want to learn how to assess data warehouse data quality. You will learn how to assess data warehouse data quality, how to improve data warehouse data quality, and how to monitor data warehouse data quality.
Database Designer
Database Designer
A Database Designer designs and builds databases. This course may be useful for Database Designers who want to learn how to design data warehouse databases. You will learn how to design data warehouse databases, how to build data warehouse databases, and how to use data warehouse database tools and technologies.
Data Visualization Engineer
Data Visualization Engineer
A Data Visualization Engineer designs and builds data visualizations. This course may be useful for Data Visualization Engineers who want to learn how to build data warehouse data visualizations. You will learn how to design data warehouse data visualizations, how to build data warehouse data visualizations, and how to use data warehouse data visualization tools and technologies.
For more career information including salaries, visit:
OpenCourser.com/course/hv0icl/data
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
Data Warehousing Capstone Project.
Comprehensive guide to designing and building data warehouses. It covers all the essential concepts, including data modeling, ETL, and performance tuning.
Provides a comprehensive guide to TensorFlow, the open-source machine learning library. It covers all the essential concepts, including neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive guide to NoSQL databases. It covers all the essential concepts, including data modeling, storage, and querying.
Provides a comprehensive guide to natural language processing with Python. It covers all the essential concepts, including text processing, machine learning, and deep learning.
Will give more in-depth knowledge about Data Warehousing by starting from the basics.
Provides a comprehensive guide to machine learning with Python. It covers all the essential concepts, including data preparation, model selection, and evaluation.
Provides a comprehensive guide to speech and language processing. It covers all the essential concepts, including speech recognition, natural language processing, and machine learning.
Provides a comprehensive guide to Hadoop, the open-source framework for big data processing. It covers all the essential concepts, including data storage, processing, and analytics.
Provides a comprehensive guide to deep learning with Python and Keras. It covers all the essential concepts, including neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive guide to PyTorch, the open-source machine learning library. It covers all the essential concepts, including neural networks, convolutional neural networks, and recurrent neural networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hv0icl/data
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Effort
5 weeks of study, 2-4 hours / week
Level
Intermediate
Via
Coursera
Institution
IBM
Instructors
Rav Ahuja
Ramesh Sannareddy
Language
English
Transcripts
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This course belongs to a
collection
called
IBM Data Warehouse Engineer. It's comprised of two courses:
- SQL: A Practical Introduction for Querying Databases
- Data Warehousing Capstone Project (viewing)
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