Managing Data as a Product: Scalable Data Architectures
Ends soon! Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Managing Data as a Product: Scalable Data Architectures
Included with
Ask Coursera
Recommended experience
Recommended experience
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
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
There are 12 modules in this course
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.
Throughout the course, you will learn to design, implement, and manage data products in a distributed environment, ensuring sustainable growth and scalability. By focusing on practical, real-world applications, the course empowers learners to overcome the challenges of traditional monolithic data platforms. What sets this course apart is its combination of theory and hands-on activities. You will not only grasp key concepts but also develop actionable strategies to modernize your data architecture effectively. Real-world case studies and best practices will guide you through the process. This course is ideal for data engineers, architects, and leaders looking to enhance their data strategies and modernize their organization’s data management. A solid understanding of core data engineering principles is recommended. This course is based on material written by an expert author, bringing the depth of a book into a more engaging, interactive format. The core content is delivered through clear, structured text you can read at your own pace, supported by short videos and quizzes to highlight key ideas and test your understanding. By combining the strengths of book learning with interactive assessments, you get the best of both worlds: the depth and clarity of an author’s expertise, plus the flexibility to revisit, practice, and reinforce concepts whenever you need.
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
2 videos•Total 2 minutes
- Course Overview•1 minute
- From Data as a Byproduct to Data as a Product - Overview Video•1 minute
8 readings•Total 80 minutes
- Introduction•10 minutes
- Data Warehouse•10 minutes
- DWH Versus Data Lake•10 minutes
- Understanding Why Monolithic Data Platforms Fail•10 minutes
- Failure Loops•10 minutes
- Exploring Why We Need to Manage Data as a Product•10 minutes
- Data Is Everybody's Business•10 minutes
- Data Product Thinking•10 minutes
1 assignment•Total 10 minutes
- Data Management and System Complexity Fundamentals•10 minutes
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
1 video•Total 1 minute
- Data Products - Overview Video•1 minute
8 readings•Total 80 minutes
- Introduction•10 minutes
- Why Do We Need Pure Data Products?•10 minutes
- Pure Data Product Definition•10 minutes
- The Rise of Data-Driven Applications•10 minutes
- Relevance•10 minutes
- Composability•10 minutes
- Input Ports•10 minutes
- Classifying Pure Data Products•10 minutes
1 assignment•Total 10 minutes
- Data Product Fundamentals•10 minutes
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
1 video•Total 1 minute
- Data Product-Centered Architectures - Overview Video•1 minute
4 readings•Total 40 minutes
- Introduction•10 minutes
- Socio-technical Architecture•10 minutes
- Dissecting the Architecture's Operational Plane•10 minutes
- Data Transformation Enabling•10 minutes
1 assignment•Total 10 minutes
- Data Product-Centered Architectures Overview•10 minutes
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
1 video•Total 1 minute
- Identifying Data Products and Prioritizing Developments - Overview Video•1 minute
8 readings•Total 80 minutes
- Introduction•10 minutes
- Connecting Problem and Solution Spaces•10 minutes
- Identifying Subdomains•10 minutes
- Identifying Bounded Contexts•10 minutes
- Mapping Business Capabilities•10 minutes
- Turning Business Strategy Into Actionable Business Cases•10 minutes
- Analyzing Processes with Event Storming•10 minutes
- Managing the Data Product Portfolio•10 minutes
1 assignment•Total 10 minutes
- Strategic Alignment of Data and Business Capabilities•10 minutes
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
1 video•Total 1 minute
- Designing and Implementing Data Products - Overview Video•1 minute
8 readings•Total 80 minutes
- Introduction•10 minutes
- Understanding the Data Product Global Ecosystem•10 minutes
- Understanding Data Product Internals•10 minutes
- Managing Data Product Metadata•10 minutes
- Introducing the Data Product Descriptor Specification•10 minutes
- Describing Interface Components in DPDS•10 minutes
- Describing Internal Components in DPDS•10 minutes
- Processing Data•10 minutes
1 assignment•Total 10 minutes
- Data Product Design and Implementation Fundamentals•10 minutes
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
1 video•Total 1 minute
- Operating Data Products in Production - Overview Video•1 minute
9 readings•Total 90 minutes
- Introduction•10 minutes
- Infrastructure as Code•10 minutes
- Automating Integration Tests•10 minutes
- Understanding CD•10 minutes
- Defining the Deployment Pipeline•10 minutes
- Governing Data Products•10 minutes
- Implementing Computational Policy•10 minutes
- Observing Data Products•10 minutes
- Controlling Data Products•10 minutes
1 assignment•Total 10 minutes
- Operating Data Products in Production•10 minutes
This section covers automating data product lifecycle management with XOps, focusing on platform capabilities and implementation strategies.
What's included
1 video6 readings1 assignment
1 video•Total 1 minute
- Automating Data Product Lifecycle Management - Overview Video•1 minute
6 readings•Total 60 minutes
- Introduction•10 minutes
- Understanding Platform Value Engines•10 minutes
- Leveraging Platform Value Engines•10 minutes
- Boosting Developer Experience•10 minutes
- Defining Data Product Modules and Blueprints•10 minutes
- Supporting Computational Policy and Ontology Development•10 minutes
1 assignment•Total 10 minutes
- Data Product Lifecycle and XOps Fundamentals•10 minutes
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
1 video•Total 1 minute
- Moving through the Adoption Journey - Overview Video•1 minute
8 readings•Total 80 minutes
- Introduction•10 minutes
- Preparing for the Assessment•10 minutes
- Understanding the Why•10 minutes
- Setting the Foundation•10 minutes
- Defining Key Governance Policies•10 minutes
- Enabling the Enablers•10 minutes
- Dealing with Legacy Systems•10 minutes
- Planning the Execution with EDGE•10 minutes
1 assignment•Total 10 minutes
- Navigating the Adoption Journey•10 minutes
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
1 video•Total 1 minute
- Team Topologies and Data Ownership at Scale - Overview Video•1 minute
9 readings•Total 90 minutes
- Introduction•10 minutes
- Understanding Team Types•10 minutes
- Collaboration•10 minutes
- Mapping the Organizational Architecture•10 minutes
- Data Product Teams•10 minutes
- Platform Teams•10 minutes
- Defining Management Teams•10 minutes
- Understanding When to Decentralize•10 minutes
- Moving toward decentralization•10 minutes
1 assignment•Total 10 minutes
- Team Topologies and Data Ownership at Scale•10 minutes
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
1 video•Total 1 minute
- Distributed Data Modeling - Overview Video•1 minute
11 readings•Total 110 minutes
- Introduction•10 minutes
- Data Modeling Process•10 minutes
- Operational and Analytical Data Modeling Methodologies•10 minutes
- Centralized Dimensional Modeling•10 minutes
- Distributed Dimensional Modeling•10 minutes
- Data Vault Modeling•10 minutes
- Managing Hubs and Links as a Service•10 minutes
- Join Traps•10 minutes
- Puppini Bridge•10 minutes
- Exploring Distributed Conceptual Modeling•10 minutes
- From String to Things•10 minutes
1 assignment•Total 10 minutes
- Data Modeling Fundamentals in Distributed Systems•10 minutes
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
1 video•Total 1 minute
- Building an AI-Ready Information Architecture - Overview Video•1 minute
7 readings•Total 70 minutes
- Introduction•10 minutes
- Information Plane•10 minutes
- Enterprise Ontology•10 minutes
- Federated Modeling Team•10 minutes
- Knowledge Graph Architectures•10 minutes
- Knowledge-Driven Data Management•10 minutes
- Boosting Generative AI with Domain Knowledge•10 minutes
1 assignment•Total 10 minutes
- Building an AI-Ready Information Architecture•10 minutes
This section covers core beliefs and organizational changes for effective data management.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Bringing It All Together - Overview Video•1 minute
4 readings•Total 40 minutes
- Introduction•10 minutes
- Data Management Is Not Just About Data•10 minutes
- Be Optimistic, Not Naïve•10 minutes
- Be a Change Agent, Not a Change Manager•10 minutes
1 assignment•Total 10 minutes
- Navigating Complexity in Modern Organizations•10 minutes
Instructor
Explore more from Data Analysis
- Status: Free Trial
Course
- Status: Free Trial
Course
- Status: Free Trial
Course
- Status: Free Trial
Course
Why people choose Coursera for their career
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,