This course provides essential skills for modernizing data architectures by adopting a data-as-a-product approach. It emphasizes building modular, scalable systems to enhance data management and unlock greater value from data assets.
Managing Data as a Product: Scalable Data Architectures
New! Discover how 91% of learners achieved at least one positive career outcome. Learn more.
Managing Data as a Product: Scalable Data Architectures
Instructor: Packt - Course Instructors
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Overcome challenges in scaling monolithic data platforms
Adopt a data-as-a-product approach for sustainable growth
Navigate the full lifecycle of data products from inception to decommissioning
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
October 2025
Assessments
12 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 12 modules in this course
In this section, we examine monolithic data platforms' limitations and explore modular approaches to reduce accidental complexity and improve system sustainability through data product strategies.
What's included
2 videos8 readings1 assignment
In this section, we define data products and pure data products, analyze their structure and characteristics, and explore methods for classifying them to enhance data utilization.
What's included
1 video8 readings1 assignment
In this section, we examine data-product-centered architecture design, operational and management planes, and alternative data management approaches for scalable, adaptable solutions.
What's included
1 video4 readings1 assignment
In this section, we explore domain-driven design and event storming to identify data products, and manage their portfolio for business alignment and operational coherence.
What's included
1 video8 readings1 assignment
In this section, we examine data product design, interactions, and implementation, focusing on metadata management, machine-readable descriptors, and data flow processes for scalable solutions.
What's included
1 video8 readings1 assignment
In this section, we explore deploying data products using CI/CD, governing them with policies, and managing their evolution to ensure reliability and alignment with organizational standards.
What's included
1 video9 readings1 assignment
This section covers automating data product lifecycle management with XOps, focusing on platform capabilities and implementation strategies.
What's included
1 video6 readings1 assignment
In this section, we explore the adoption phases of data as a product, focusing on challenges, strategies, and adaptive data governance to ensure sustainable and scalable implementation.
What's included
1 video8 readings1 assignment
In this section, we explore team topologies and data ownership strategies to optimize organizational structures for scalable data product delivery and efficient team collaboration.
What's included
1 video9 readings1 assignment
In this section, we explore distributed data modeling techniques, focusing on physical and conceptual approaches to design explicit models for data products in decentralized systems.
What's included
1 video11 readings1 assignment
In this section, we explore building an AI-ready information architecture by designing a knowledge plane for semantic interoperability and constructing an enterprise knowledge graph for AI integration.
What's included
1 video7 readings1 assignment
This section covers core beliefs and organizational changes for effective data management.
What's included
1 video4 readings1 assignment
Instructor
Offered by
Explore more from Data Analysis
Status: Free Trial
Status: Free TrialCoursera Instructor Network
Status: Free TrialJohns Hopkins University
Status: Free TrialDuke University
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,