Data Architect Capstone Project
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Data Architect Capstone Project
This course is part of IBM Data Architecture Professional Certificate
Instructors: Ramesh Sannareddy
Included with
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What you'll learn
Gain hands-on experience working with data architecture that you can showcase in your portfolio and talk about in interviews.
Analyze and assess existing data architecture in alignment with business objectives.
Implement data migration and integration solutions, including building data pipelines.
Apply data governance and security protocols, ensuring compliance and data protection.
Details to know
10 assignments
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There are 6 modules in this course
Gain practical, real-world experience in data architecture through this hands-on capstone project course, developing skills highly valued by employers.
During this course, youβll apply all that youβve learned throughout the Data Architecture Professional Certificate. As you work through the course, youβll evaluate, design, migrate, and integrate enterprise data systems through a case study. In the capstone project, you will assess the current data architectures of two organizations, highlighting their strengths and identifying areas for improvement. Based on this analysis, you will design and implement a unified and efficient architecture for the newly merged entity, aligning with business goals. The project includes working with both RDBMS and NoSQL databases and developing ETL pipelines to ensure smooth data integration and flow. Additionally, you will create a data governance plan that addresses regulatory compliance and outlines strategies for data protection. Overall, this real-world inspired scenario will give you plenty to talk about implementing an architecture and managing a system transition in interviews. If youβre keen to add practical experience to your portfolio that employers look for, enroll today!
This module lays the groundwork for the course by introducing the case study that you will work on and outlining the applicable prerequisites. In this module, you will evaluate the enterprise data architecture of two apparel retail companies that are about to get merged through a hands-on lab, focusing on assessing the organization's data systems. The evaluation includes identifying the strengths, weaknesses, and areas for improvement in data architecture, in alignment with the business goals and data strategies.
What's included
1 video1 reading2 assignments4 plugins
1 videoβ’Total 6 minutes
- Course Introductionβ’6 minutes
1 readingβ’Total 10 minutes
- Course Overviewβ’10 minutes
2 assignmentsβ’Total 42 minutes
- Graded Quiz: Introduction and Evaluating Enterprise Data Architectureβ’30 minutes
- Checklist: Evaluate Existing EDA of the Companiesβ’12 minutes
4 pluginsβ’Total 75 minutes
- Project Case Studyβ’6 minutes
- Reading: Case Studies for Data Architecturesβ’5 minutes
- Assignment Overview: Evaluate Existing Enterprise Data Architectureβ’4 minutes
- Lab: Evaluate Existing EDA of the Companiesβ’60 minutes
This module focuses on designing scalable and efficient data architecture. Through a hands-on lab, you will develop the data architecture for FutureMart, a newly formed entity resulting from the merger of FashionMart and TrendyThreads. This module emphasizes data modeling, selecting appropriate data storage solutions, and creating high-level architecture designs that align with business objectives.
What's included
2 assignments2 plugins
2 assignmentsβ’Total 44 minutes
- Graded Quiz: Designing the Data Architecture for an Enterpriseβ’30 minutes
- Checklist: Design the Data Architecture of the Merged Entityβ’14 minutes
2 pluginsβ’Total 64 minutes
- Assignment Overview: Design the Data Architectureβ’4 minutes
- Lab: Design the Data Architecture for the Merged Entityβ’60 minutes
In this module, you will explore the strategies for data migration between different database systems. Through hands-on labs, you will perform data migration from a relational database (RDBMS) to a NoSQL database and vice versa, focusing on maintaining data integrity and understanding the requirements of data migration.
What's included
2 assignments1 app item1 plugin
2 assignmentsβ’Total 42 minutes
- Graded Quiz: Data Migration in an Enterpriseβ’30 minutes
- Checklist: Migrate the Data to the New Data Architectureβ’12 minutes
1 app itemβ’Total 30 minutes
- Lab: Migrate the Data to the New Data Architectureβ’30 minutes
1 pluginβ’Total 4 minutes
- Assignment Overview: Data Migration to New Architectureβ’4 minutes
This module focuses on advanced data integration techniques, including building ETL pipelines and ensuring data quality. You will work in the hands-on labs to design an ETL pipeline for machine learning (ML) anomaly detection, perform data quality checks, and design a data warehouse schema for efficient data storage and retrieval.
What's included
2 assignments1 app item1 plugin
2 assignmentsβ’Total 42 minutes
- Graded Quiz: Data Integration and Related Techniquesβ’30 minutes
- Checklist: Data Integrationβ’12 minutes
1 app itemβ’Total 60 minutes
- Integration, ETL, and Backup Operationsβ’60 minutes
1 pluginβ’Total 4 minutes
- Assignment Overview: Data Integrationβ’4 minutes
This module focuses on the critical aspects of data governance and security. Through a case study, you will identify the cost of a data breach. By working on a hands-on lab, you will draft a comprehensive data governance plan for a company, addressing regulatory compliance, data protection, and policy implementation.
What's included
2 assignments3 plugins
2 assignmentsβ’Total 42 minutes
- Graded Quiz: Data Governance for an Enterpriseβ’30 minutes
- Checklist: Data Governanceβ’12 minutes
3 pluginsβ’Total 69 minutes
- Assignment Overview: Data Governanceβ’4 minutes
- Case Study: Cost of a Data Breachβ’5 minutes
- Lab: Create the Data Governance Plan for FutureMartβ’60 minutes
The final module brings together all your learning in a graded project. You will redesign the data architecture to manage a company acquisition, applying evaluation, design, migration, and governance principles. After completing the project, you will submit the artifacts developed in the project for grading. The module concludes with the reflections and the next steps in your learning journey.
What's included
2 readings1 app item
2 readingsβ’Total 4 minutes
- Congratulations and Next Stepsβ’2 minutes
- Team and Acknowledgmentsβ’2 minutes
1 app itemβ’Total 60 minutes
- Final Project: Data Architecture Redesign for Company Acquisitionβ’60 minutes
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Reviewed on Feb 9, 2026
This is a very important course if you want to be a Data Architect
Frequently asked questions
This course is designed for aspiring data architects, engineers, database administrators, and system analysts who want to pursue a career in data architecture and design. It provides valuable hands-on experience you can showcase in your portfolio and talk about in interviews.
This capstone project lets you apply your data architecture skills to a real-world scenario, reinforcing what youβve learned. It provides hands-on experience, strengthens your problem-solving abilities, and gives you a portfolio project to showcase to employers.
Completing the capstone proves you can tackle real data architecture challenges, making you job-ready. It also gives you a portfolio project to highlight on your resume and LinkedIn, helping you stand out to recruiters and employers in the data field.
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