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Michael Mannino and Jahangir Karimi

The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations.

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The capstone course, Design and Build a Data Warehouse for Business Intelligence Implementation, features a real-world case study that integrates your learning across all courses in the specialization. In response to business requirements presented in a case study, you’ll design and build a small data warehouse, create data integration workflows to refresh the warehouse, write SQL statements to support analytical and summary query requirements, and use the MicroStrategy business intelligence platform to create dashboards and visualizations.

In the first part of the capstone course, you’ll be introduced to a medium-sized firm, learning about their data warehouse and business intelligence requirements and existing data sources. You’ll first architect a warehouse schema and dimensional model for a small data warehouse. You’ll then create data integration workflows using Pentaho Data Integration to refresh your data warehouse. Next, you’ll write SQL statements for analytical query requirements and create materialized views to support summary data management. For data integration workflows and analytical queries, you can use either Oracle or PostgreSQL. Finally, you will use MicroStrategy OLAP capabilities to gain insights into your data warehouse. In the completed project, you’ll have built a small data warehouse containing a schema design, data integration workflows, analytical queries, materialized views, dashboards and visualizations that you’ll be proud to show to your current and prospective employers.

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What's inside

Syllabus

Course Overview
Module 1 introduces the objectives and topics in the course and provides background on the case and software requirements. The capstone course is organized around a realistic case study based on the business situation faced by CPI Card Group in 2015.
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Traffic lights

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what should give you pause
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Provides a comprehensive understanding of data warehouse design, integration, query, and visualization
Taught by industry experts with real-world experience in data warehousing
Covers the entire data warehousing lifecycle, from design to deployment
Uses industry-standard tools and technologies, such as Pentaho Data Integration and MicroStrategy
Requires students to complete a real-world project, giving them hands-on experience in data warehousing
Suitable for students with a strong foundation in data management and analytics

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Reviews summary

Practical data warehouse & bi capstone

According to learners, this course serves as a valuable capstone for the specialization, bringing together concepts through a realistic case study. Students appreciate the opportunity to build a small data warehouse and gain hands-on experience with industry tools like Pentaho Data Integration and MicroStrategy. The practical focus and integration of skills are frequently highlighted as major strengths. However, many reviewers note that the software setup and configuration, particularly for Pentaho and MicroStrategy, can be challenging and time-consuming, sometimes requiring significant troubleshooting.
Requires significant time and effort to complete.
"This course is quite demanding in terms of time, especially the hands-on parts."
"Be prepared to dedicate a substantial amount of time to complete the assignments."
"It's not a quick course; the labs and project require focused effort."
"Make sure you allocate enough time each week to keep up with the workload."
Successfully ties together previous courses.
"This capstone perfectly summarized and integrated everything we learned in the prior courses."
"It's a great way to consolidate your knowledge from the entire specialization."
"The course effectively builds upon the foundation laid in the earlier modules."
"Felt like a true culmination of the specialization curriculum."
Course teaches highly relevant skills for BI careers.
"This course gave me hands-on skills in building a data warehouse and using BI tools that are directly applicable to my job."
"I learned practical techniques for data integration, SQL querying, and creating dashboards."
"The skills acquired here are very relevant for anyone looking into a business intelligence role."
"I feel much more confident discussing data warehousing concepts and tools after completing this course."
Appreciated for its practical application and relevance.
"The case study provided a realistic scenario to apply the concepts learned throughout the specialization."
"I found the real-world case study approach to be extremely helpful in understanding how everything fits together."
"The case study is a great way to integrate all the skills acquired in the previous courses."
"Applying the concepts to a real business case made the learning much more impactful."
Setting up Pentaho PDI and MicroStrategy is difficult.
"The most challenging part was definitely installing and configuring Pentaho Data Integration and MicroStrategy."
"Software setup was frustrating; it took me a long time to get everything working correctly."
"Be prepared to spend a significant amount of time on the tool setup process."
"I struggled with the technical setup more than the course content itself."

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 Design and Build a Data Warehouse for Business Intelligence Implementation with these activities:
Review Data Warehousing Fundamentals
Refresh understanding of data warehousing concepts and best practices to strengthen the foundation for the course.
Browse courses on Data Warehousing
Show steps
  • Review textbooks and articles
  • Attend online tutorials
Develop a Data Warehousing Business Case
Solidify understanding of business case development by creating a data warehousing business case for the case study organization.
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Show steps
  • Identify business needs and challenges
  • Develop a data warehousing solution
  • Estimate project costs and benefits
  • Present the business case
Design a Dimensional Model
Demonstrate understanding of data modeling concepts by creating a dimensional model for the case study business requirements.
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  • Identify business entities and their relationships
  • Create fact and dimension tables
  • Establish relationships between tables
  • Validate the model using SQL queries
Five other activities
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Write SQL Queries
Reinforce understanding of SQL syntax and data manipulation techniques used throughout the course.
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Show steps
  • Create a sample data warehouse schema
  • Write SELECT queries to extract and filter data
  • Write INSERT, UPDATE, and DELETE queries to modify data
  • Join tables using different join types
Collaborate on Data Warehousing Project
Foster collaboration and exchange of knowledge by working with peers on a data warehousing project.
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Show steps
  • Form a study group with classmates
  • Set up regular meetings
  • Assign responsibilities and work on different aspects of the project
  • Share progress and provide feedback
Analyze Business Intelligence Metrics
Develop proficiency in analyzing business intelligence metrics to extract insights and inform decision-making.
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  • Identify key business metrics
  • Calculate and interpret metrics
  • Create visualizations to present insights
Learn MicroStrategy Reporting Tools
Enhance proficiency in using MicroStrategy to create dashboards and visualizations for business analysis.
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Show steps
  • Access MicroStrategy tutorials and documentation
  • Create a new project and import data
  • Design dashboards and reports
  • Publish and share insights
Build a Mini Data Warehouse
Apply knowledge and skills to a practical project by building a small-scale data warehouse using industry-standard tools.
Browse courses on Data Warehousing
Show steps
  • Create SQL queries for data analysis
  • Build dashboards and visualizations
  • Design the data warehouse schema
  • Integrate data from multiple sources

Career center

Learners who complete Design and Build a Data Warehouse for Business Intelligence Implementation will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data analysts design and implement data-collection systems to gather data used in data warehouses, data lakes, and more. A course that helps develop strong data warehouse design and analytical query skills will be very helpful in a data analyst role. A background in data integration is also very helpful, as is experience with data visualization software, both of which are covered in this course.
Data Architect
Data architects create architectures that meet the data requirements of businesses. This requires a deep understanding of how data is stored, managed, and integrated across a company or organization. A course on data warehouse design and BI implementation can be very useful in this role. It can help develop a strong understanding of the principles and best practices of data warehousing and BI. It also provides hands-on experience in designing and implementing a data warehouse, which is a valuable skill for data architects.
Data Engineer
Data engineers design, build, and maintain the infrastructure and processes that store and manage data for data warehouses and BI systems. A course on data warehouse design and BI implementation can be very helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse, which is a valuable skill for data engineers.
Business Intelligence Analyst
Business intelligence analysts use data to help businesses make better decisions. This involves collecting, analyzing, and interpreting data to identify trends, patterns, and opportunities. A course on data warehouse design and BI implementation can be very helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also help you develop proficiency in data visualization and dashboard design, which are essential skills for business intelligence analysts.
Database Administrator
Database administrators are responsible for the performance, security, and integrity of databases. This involves managing the physical and logical structure of databases, as well as implementing security measures to protect data from unauthorized access. A course on data warehouse design and BI implementation can be very helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing, as well as hands-on experience in designing and implementing a data warehouse.
Data Scientist
Data scientists use scientific methods to extract knowledge and insights from data. This involves developing and applying statistical and machine learning models to data to identify patterns, trends, and anomalies. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing, as well as hands-on experience in designing and implementing a data warehouse.
Software Engineer
Software engineers design, develop, and maintain software applications. This involves writing code, testing software, and debugging errors. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing, as well as hands-on experience in designing and implementing a data warehouse. This course will also familiarize you with data visualization and dashboard design tools.
Data Integration Specialist
Data integration specialists design and implement data integration solutions to integrate data from multiple sources into a single, unified view. This involves understanding the different data sources, data formats, and data structures, as well as developing and implementing data integration processes. A course on data warehouse design and BI implementation can be very helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also help you gain experience with data integration tools and technologies.
Database Developer
Database developers design and develop databases to store and manage data for applications. This involves creating database schemas, writing SQL queries, and implementing security measures to protect data from unauthorized access. A course on data warehouse design and BI implementation can be very helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing, as well as hands-on experience in designing and implementing a data warehouse. This course will also help develop an understanding of data visualization and dashboard design tools.
Management Consultant
Management consultants advise businesses on how to improve their performance. This involves analyzing business processes, identifying problems, and developing and implementing solutions. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also provide exposure to data visualization and dashboard design tools.
Project Manager
Project managers plan, execute, and close projects. This involves defining project scope, developing project plans, and managing project budgets and timelines. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also provide exposure to data visualization and dashboard design tools.
Business Analyst
Business analysts analyze business processes and identify opportunities for improvement. This involves gathering and analyzing data, developing recommendations, and presenting findings to stakeholders. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also provide exposure to data visualization and dashboard design tools.
Data Governance Analyst
Data governance analysts develop and implement policies and procedures to ensure that data is used in a consistent and ethical manner. This involves developing data governance frameworks, defining data standards, and monitoring data usage. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also provide exposure to data visualization and dashboard design tools.
Information Architect
Information architects design and implement information systems to meet the needs of businesses. This involves understanding the business requirements, developing information system architectures, and implementing information systems. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse.
Data Quality Analyst
Data quality analysts ensure that data is accurate, complete, and consistent. This involves developing and implementing data quality standards, monitoring data quality, and resolving data quality issues. A course on data warehouse design and BI implementation may be helpful in this role. It will help develop a strong understanding of the principles and best practices of data warehousing and BI, as well as hands-on experience in designing and implementing a data warehouse. This course will also provide exposure to data visualization and dashboard design tools.

Reading list

We've selected 25 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 Design and Build a Data Warehouse for Business Intelligence Implementation.
Classic 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 models.
This classic book comprehensive introduction to the concepts and techniques of data warehousing. It provides a solid foundation for understanding how to design, build, and manage data warehouses.
Provides a comprehensive guide to dashboard design. It covers all aspects of dashboard design, from data selection to visual encoding to layout.
Comprehensive guide to the MicroStrategy Business Intelligence Platform. It covers all aspects of the platform, from data modeling to data visualization to reporting.
Provides a comprehensive introduction to Spark. It covers everything from Spark architecture to Spark programming.
Provides a comprehensive introduction to data analytics. It covers all aspects of data analytics, from data collection to predictive modeling. It valuable resource for anyone who wants to learn more about data analytics.
Provides a comprehensive introduction to data warehousing with Oracle. It covers all aspects of data warehousing with Oracle, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about data warehousing with Oracle.
Provides a practical introduction to data visualization. It covers all aspects of data visualization, from data preparation to chart creation to dashboard design.
Provides a managerial perspective on business intelligence and data warehousing. It covers all aspects of business intelligence and data warehousing, from planning to implementation to evaluation.
Provides a practical introduction to machine learning with Python. It covers all aspects of machine learning, from data preparation to model building to evaluation.
Provides a practical introduction to data science. It covers all aspects of data science, from data collection to data analysis to model building.
Provides a practical introduction to predictive analytics. It covers all aspects of predictive analytics, from data preparation to model building to deployment.
Provides a comprehensive overview of data integration techniques and technologies. It covers everything from data cleansing to data transformation.
Provides a comprehensive introduction to predictive analytics. It covers all aspects of predictive analytics, from model development to model deployment. It valuable resource for anyone who wants to learn more about predictive analytics.
Provides a comprehensive introduction to deep learning. It covers all aspects of deep learning, from basic concepts to advanced algorithms. It valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive introduction to NoSQL databases. It covers everything from NoSQL database concepts to NoSQL database technologies.
Provides a comprehensive introduction to data visualization. It covers everything from basic charting techniques to advanced data visualization techniques.
Provides a practical introduction to natural language processing with Python. It covers all aspects of natural language processing, from text mining to machine translation to speech recognition.
Provides a comprehensive introduction to machine learning. It covers all aspects of machine learning, from basic concepts to advanced algorithms. It valuable resource for anyone who wants to learn more about machine learning.
Provides a comprehensive introduction to PyTorch. It covers all aspects of PyTorch, from basic concepts to advanced techniques. It valuable resource for anyone who wants to learn more about PyTorch.
Provides a comprehensive introduction to machine learning. It covers everything from supervised learning to unsupervised learning.
Provides a comprehensive introduction to deep learning. It covers everything from artificial neural networks to convolutional neural networks.

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