 |
|
Data architecture frames how data is managed from the point of creation or collection, through processing of many kinds, to distribution, usage, and business impact. It provides concepts, structures, guidelines, and standards needed for consistency, reliability, resilience, adaptability, and sustainability of data management processes and practices.
Data architecture is a complex undertaking that describes how the many parts of data management fit together. Looking outward from data architecture, it must work together with business architecture, systems architecture, and technology architecture as an integral part of enterprise architecture. Looking inward, it must connect the dots among data models, structures, sources, processes, flows, products, services, technologies, users, use cases, business impacts, and more.
|
|
This 5-hour online course looks at the concepts, principles, and products of data architecture through six different lenses – business alignment, data lifecycle management, data usage, content & structure, processing & storage, and technology. Putting the pieces together, the course concludes with a look at six steps to architecture design, six methods of architecture implementation, and the importance of continuously evolving data architecture.
You will learn:
- Multiple, complementary definitions of data architecture
- Why data architecture is needed – both business and technical cases
- How data architecture relates to enterprise architecture, data culture, and data governance
- Six perspectives of data architecture and the underlying concepts of each
- What is produced by architectural activities and processes
- How data architecture is developed, managed, and implemented
- Best practices for data architecture
This course is geared towards:
- Practicing and aspiring data architects
- CDOs, CIOs, andother executives with a role in defining data strategy
- Enterprise, business, systems, technology, analytics, and other architects who work with data architects
- Data engineers, application designers and developers, data systems designers and developers, and others who apply data architecture
- Anyone who needs to collaborate with data architects, and everyone with an interest in data architecture
Module 0. About the Course (5 min)
Module 1. Introduction to Data Architecture (49 mins)
- Architecture Concepts
- Data Architecture Concepts
- Data Architecture Context
- Data Architecture Perspectives
- Data Architecture Products
- Applied Data Architecture
Module 2. Data Architecture Business Perspective (29 mins)
- Data Stakeholders
- Data & Business Processes
- Data Domains
- Data Services & Data Products
- Data Monetization
Module 3. Data Architecture Lifecycle Perspective (32 mins)
- Lifecycle Concepts
- Introducing Data Assets and Data Products
- Operational Data Lifecycle
- Data Assets Lifecycle: Schema on Write & Schema on Read
- Data Products Lifecycle
- Data Architecture and Data Lifecycles
Module 4. Data Architecture Usage Perspective (26 mins)
- Data Use Cases
- Blending Humans with Technology
- Types of Use Cases
- Role for Data Architecture
- Application Areas and Data Architecture
- Questions Data Architecture Needs to Answer
Module 5. Data Architecture Content and Structure Perspectives (37 mins)
- Architecture Impact of Data Structure
- Digital Representation of the World
- Building Blocks of Information – A Metaphor
- Event Data and Reference Data
- Measures and Metrics
- Transformed and Refined Data
- Multi-Media Data
- Relational Data Model (Entity Relationship Model)
- Dimensional Data Model
- Non-Relational Data
- NoSQL Data Model
Module 6. Data Architecture Processing and Storage Perspective (46 mins)
- Operational Systems & Databases
- Data Integration Systems & Databases
- Data Resources
- Data Management Architectures
Module 7. Data Architecture Technology Perspective (32 mins)
- Establishing a Framework
- Architecture Decisions
- Summary of the Capability Framework
- Role of Technology Architecture
Module 8. Putting the Pieces Together (37 mins)
- Developing Data Management Architecture
- Implementing Data Management Architecture
- Apply Data Architecture
- Data Architecture Best Practices
Click –here- to download a more detailed outline of this course.
|
This exam tests knowledge and understanding of basic concepts, principles, and terminology of analytics.
|
You will be tested in these areas:
- Data architecture definitions and purpose
- Relationship of data architecture with business and other architectures
- Products produced by data architecture activities
- Data lifecycles and their relationships with data architecture
- Data assets, data services, data products, and data domains
- Data stakeholders, data users, and data uses
- Data types and data models
- Data systems, data resources, and data management architectures
- Scope, variety, and types of data management technologies
- Designing and implementing data architecture
|
Additional Information
Number of Questions: 25
Time Limit: 50
Passing Score: 70%
|
|
Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
Click here to learn more about CIMP exams.
|
|
|
|
Course Review 
Course Review from 5/8/2023