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Data Architecture Fundamentals
Data Architecture Fundamentals- online training course
 
4.5-hour Online Course by Mark Peco and Dave Wells
Single-user access license

Product Code: DA-01-A
Coming Soon!

Description Course Outline Exam Details
 

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.

Click to play Course Sneak Peek

This [insert duration] 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

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