T3 EDW Tutorial: Operational Data Architecture

Time: Monday, March 27th, 8am - 11am Pacific Time (PST)/11am - 2pm Eastern Time (EST)

This Enterprise Data World (EDW) Digital Tutorial can be purchased on the official conference website, but the live tutorial will occur within the DATAVERSITY Training Center. You will receive your unique login credentials and confirmation once you've registered for this paid Tutorial at: https://edw2023digital.dataversity.net/registration-welcome.cfm

Registration for this Tutorial will also give you access to all active tutorials within the same time slot.

All paid Tutorial registrations include access to the free 2-day program Tuesday-Wednesday. Please note that you will receive separate login instructions for the free program, as it will take place on a different platform than the Tutorials. See your registration confirmation for details.  

The EDW Digital Conference site can be found at: https://edw2023digital.dataversity.net/index.cfm

Tutorial Description

Over the past few decades, Data Architecture has focused almost exclusively on managing data for analytics, with operational data viewed as “data sources.” Operational data is much more than source data for analytics. It is the data used to run the business, whereas analytical data is used to observe the business. Business operations don’t work without operational data, yet we’ve largely ignored it as a critical part of Data Management architecture.

Over the decades that we’ve disregarded operational data, many changes have occurred in the world of operational systems and data. What was once primarily transactional systems has evolved to encompass transactions, workflow automation, process automation, commercial IoT, and industrial IoT. Today’s transactional systems are dominated by purchased products, each with unique semantics, data models, and proprietary data architecture. The result is a large accumulation of technical debt that limits data exchange, data sharing, data interfaces, Data Quality, and even data meaning.

It is time to step up to operational data architecture – to reduce technical debt and to prepare for changes yet to come. Concepts, techniques, and technologies exist to meet operational data challenges. But a fragmented, technology-first approach is time-consuming, costly, and often chaotic. Well-designed operational data architecture organizes the techniques and technologies to prevent chaos and improve data management.

You will learn:

• The variety of operational systems and the roles of each
• The variety of data created and managed by operational systems
• The implications of global data variations and mobile data variations
• The roles of MDM and RDM in operational Data Management
• The challenges of data sprawl, data disparity, and Data Management technical debt
• Architectural concepts, constructs, and techniques to manage sprawl, disparity, and debt
• Design techniques for adaptable and sustainable architecture

Speaker: Dave Wells

Dave Wells is the Education Director for eLearningCurve as well as the author and instructor of several eLearningCurve courses. Dave works as an educator and consultant in the field of data and information management. He has more than 50 years of experience working with data and technology in many roles including application development, data architecture, data governance, IT management, business management, technology research, and more. Dave also has more than 30 years of experience as an information management and information technology educator including curriculum management, instructional design, course development, and teaching in live classroom, virtual, and e-learning formats. See Dave’s blog at eckerson.com to read his thoughts about a variety of data and information management topics.