Master Data Management partner, eLearningCurve, announces new Data Architecture Fundamentals course. This 5-hour, online course, by Marco Peco and Dave Wells, provides a comprehensive overview of data architecture and how it fits into any Enterprise Architecture capability
Data architecture serves as a framework that governs the management of data from the very beginning, starting with its creation or collection, to the various types of processing it undergoes, and its distribution, usage, and ultimate business impact. By offering a set of principles, structures, guidelines, and standards, data architecture ensures consistency, reliability, resilience, adaptability, and sustainability in data management practices and processes.
Data architecture is a multifaceted endeavor that involves understanding how various components of data management fit together. It must integrate seamlessly with business architecture, systems architecture, and technology architecture, serving as a crucial element of enterprise architecture. Within data architecture, it's necessary to establish connections between data models, structures, sources, processes, flows, products, services, technologies, users, use cases, business impacts, and more.
In this five-hour online course, participants will examine the concepts, principles, and products of data architecture from six different viewpoints, including business alignment, data lifecycle management, data usage, content and structure, processing and storage, and technology. The course brings all these perspectives together to conclude with a detailed 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, and other 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
Got a Question? 
