DAF0: Data Architecture Fundamentals Learning Plan
Data Architecture provides the foundation upon which organizations build data capabilities to serve business needs. It links business considerations of Data Strategy to the technical backbone that makes it happen. Data Architecture provides a high-level vision and roadmap to ensure other disciplines are working together to propel data efforts in the right direction. As simple and clear as the term “Data Architecture” sounds initially, the truth is much more complex. It is constantly evolving to become the elastic holding all of Data Management together. And that is exactly what it should be. In this nine-course Learning Plan, we evaluate not just what Data Architecture means today, but how it is evolving, and why it will remain relevant for a long time to come.
A wide range of topics are presented within Data Architecture Fundamentals, including Data Governance, data foundations, design patterns, metadata and data lineage, systems development, pattern-based customization, Extract-Transform-Load (ETL) variants, data creation and transformation, data storage technologies and data warehousing, single cloud vs. multi-cloud models, API fundamentals, dimensional modeling, business vs. IT issues, how to create a compelling data architect profile, career pitfalls encountered, desired outcomes, and so much more.
This is not intended to be a highly technical offering but is valuable to data architects and business professionals ranging from technically proficient to not technically-oriented people. Even those considering a path in Data Architecture, or working closely with data architects, will find many useful insights throughout these courses.
Learning Plan Price: $699
Individual Course Price: $99
Learning Plan CEUs: 9.0 hours
Each Course Includes:
- A 56- to 75-minute educational training video
- An 11- to 19-question exam
- Materials made available for download once the exam has been completed
- Self-paced and on-demand e-learning
- Unlimited course access
Courses within the Data Architecture Learning Plan:
- Introduction to Data Architecture
- Foundations for Successful Data Architecture
- Data Governance and Data Architecture
- Data Architecture and Integration
- Data Architecture Technologies
- Data Modeling for Data Architects
- Data Architecture Design Patterns
- Data Architecture in the Cloud
- Data Architecture Careers
We offer several bulk licensing options for corporate and group use.
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Data Architecture Fundamentals Learning Plan
DAF1: Introduction to Data Architecture
- Introducing Data Architecture
- Why Data Architecture?
- Definitions
- Linking Data Strategy to Business Strategy
- Data Value Lesson
- Fostering Innovation
- Current States of “Architecture”
- Data Architecture Capabilities
- Summary and Key Takeaways
DAF2: Foundations for Successful Data Architecture
- Data Architecture as a Conductor
- Creating Data Architects as Ultimate Builders
- Key Skills for Data Architects
- The Technology Stack
- The Data Stack
- Why a Reference Data Architecture?
- Understanding the Data Lifecycle
- Activities and Task Summaries
- Reference Data Architecture in Practice
- Summary and Key Takeaways
DAF3: Data Governance and Data Architecture
- Data Governance for Data Architects
- Data Governance Prioritizes
- Improving Data Architecture with Data Governance
- Function-Focused to Outcome-Oriented
- The Melting Pot of Today’s Roles
- Data Architects Hold the Keys
- Defining Your Data Architecture Role
- Common Data Governance Disciplines
- Metadata and Data Lineage Architecture
- Data Quality Architecture
- Data Governance Process Architecture
- Unified Data Architecture
- Summary and Key Takeaways
DAF4: Data Architecture and Integration
- The Relationship Among People, Systems, and Data
- Uniting Systems Development
- Data Architecture’s Role in Operations
- Fundamentals of APIs
- The Future of Collaboration
- Pattern-Based Customization
- Extract-Transform-Load (ETL) Variants
- Order of ETL Operations
- Choosing an Integration Design Pattern
- Summary and Key Takeaways
DAF5: Data Architecture Technologies
- Planning and Design
- Data Creation and Transformation
- Data Consumption
- Business Process and Operations
- Supporting Goals by Building a Foundation
- Storing Data
- Relational and Non-Relational Databases
- Data Lakes and Beyond
- Key Data Storage Technologies
- Self-Service Data Architecture
- Summary and Key Takeaways
DAF6: Data Modeling for Data Architects
- Introduction to Data Modeling
- Data Modeling Types
- Dimensional Modeling
- Comparing Modeling Strategies
- When to Break the “Rules”
- Steps to Pragmatic Data Modeling
- Stages of Driving Change
- Measuring Data Models
- Beyond Data Modeling
- Quantification
- Summary and Key Takeaways
DAF7: Data Architecture Design Patterns
- Data Warehousing Defined
- Early Days of Data Warehousing
- Comparing Data Warehousing Platforms
- Traditional Role of Enterprise Architecture
- Enterprise Architecture and Data Governance
- The Layers of Architecture
- Core Functions of a Data Architect
- Development and Operations
- Business Impact of Data
- Summary and Key Takeaways
DAF8: Data Architecture in the Cloud
- The Cloud and Systemic Friction
- Innovative Capabilities at Infinite Scale
- Big Data vs. Small Data
- Progression of the Cloud
- Virtual Data Architecture
- New Skills to Learn
- One Cloud vs. Multi-Cloud
- Traditional Cloud Governance
- Keys to Governing the Cloud
- Comparing Different Types of Cloud
- Summary and Key Takeaways
DAF9: Data Architecture Careers
- The Data Architect Profile
- Data Architect Skills
- Business
- Technology
- Data
- Launching Data Architecture
- Moving Beyond Data Architecture
- Hands-On vs. Hands-Off
- Valuing Data Architecture
- Academic Pursuits in Data Architecture
- Industry vs. Consulting
- Hiring a Data Architect
- Summary and Key Takeaways
Milestone
Complete All Nine Data Architecture Fundamentals Courses
1. DAF1: Introduction to Data Architecture
required
Course
Data Architecture is an important organizational data discipline, but it is not always clear what is and is not “Data Architecture.” This course puts forward a clear definition and discusses why Data Architecture is more important than ever. It looks at the segmented relationship between the business and IT and discusses how Data Architecture is as much a business decision as it is a technical one for organizations who wish to be empowered and informed.
View Details2. DAF2: Foundations for Successful Data Architecture
required
Course
Organizations are faced with an increasingly complex data landscape, finding themselves unable to cope with exponentially increasing data volumes, compounded by conflicting initiatives rather than a focused, integrated approach. The critical segments to support the successful implementation of organizational strategy require a robust Data Architecture foundation that mitigates inefficiencies. This course dives into the necessary building blocks to give your Data Architecture program the best chance at achieving the outcomes you desire.
View Details3. DAF3: Data Governance and Data Architecture
required
Course
Data Governance traditionally focuses on business-side concerns, while Data Architecture often emphasizes the technical structures facilitating and enforcing Data Governance outputs. This is important to understand and just as important to overcome. This course also covers specific architectures relevant to key Data Governance functions.
View Details4. DAF4: Data Architecture and Integration
requiredCourse
One of the challenges of Data Architecture is that success can’t be measured directly from the Data Architecture efforts themselves. Data Architecture informs systems development and integration, and those drive the ultimate data value outcomes. Data Architecture cannot succeed without successful systems. This course explains why, and what to do about it.
View Details5. DAF5: Data Architecture Technologies
requiredCourse
The reliability of effective Data Architecture comes from well-designed and well-implemented technologies. In addition to serving as a blueprint for managing information effectively, Data Architecture technologies comprise the specific data collection and access control needed for critical processes. This course covers the most important technologies for a data architect.
View Details6. DAF6: Data Modeling for Data Architects
requiredCourse
To get the most out of any data technology, data architects have to know how to use it. But that is not enough. They must know the data they will be working with, as well as the business considerations their work will influence. One of the biggest mistakes they can make is building structures while lacking awareness of what goes inside them. This is why Data Modeling is so important. This course explores the Data Modeling fundamentals that apply to the data architect role.
View Details7. DAF7: Data Architecture Design Patterns
requiredCourse
Technologies are evolving, and the ways organizations use them are changing. Data architects are gaining more responsibilities, while other roles are disappearing entirely. This course studies various design patterns and will help data architects figure out which apply to their particular situations — and more importantly, what to do about them. This course also reviews the evolution of data warehousing, along with understanding the importance of design patterns and how they interact with data.
View Details8. DAF8: Data Architecture in the Cloud
requiredCourse
The cloud has changed everything, and yet nothing. On the surface, it may seem that in the world of cloud infrastructure, Data Architecture would be significantly different. That’s not really true, though there are many new complexities that data architects must accommodate. This course explores the cloud from a Data Architecture perspective. It discusses hurdles that legacy systems experience and how the cloud supports analytics. Additionally, it reviews the rapidly evolving ways that cloud technologies are transforming enterprises and considers new approaches to capitalize on their data assets.
View Details9. DAF9: Data Architecture Careers
required
Course
Data architects are key data professionals in many organizations. They are valued for designing, organizing, and managing extensive data environments. Along with using sophisticated design skills to develop databases, they also investigate data infrastructures and serve as a vital role in developing plans that integrate with business needs. This course explores how data architects must be creative problem-solvers while innovating and designing new solutions through a variety of tools. Finally, it discusses career opportunities, areas for growth, along with the pros and cons of a long-lasting career.
View Details
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