Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
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Architecting a data platform for enterprise use

Mark Madsen (Teradata), Todd Walter (Archimedata)
9:0012:30 Tuesday, 30 April 2019
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(3.71, 7 ratings)

Who is this presentation for?

  • Architects, system designers, and managers who want to understand the broader picture of analytics infrastructure



Prerequisite knowledge

  • A basic understanding of how data is used in organizations
  • Familiarity with application and platform architecture, the concepts behind databases, and data platforms

What you'll learn

  • Understand how data architecture influences your technology architecture
  • Explore analytic workloads and their impact on data architecture and technology choices
  • Learn how to separate infrastructure from application in your data systems and when to save immutable data, when to standardize data, and how to govern its delivery and use over time
  • Discover the trade-offs and considerations for multiapplication and multiuse data infrastructure


The goal in most organizations is to build multiuse data infrastructure that is not subject to past constraints, but the focus in our market has been on acquiring technology, ignoring the larger IT landscape within which this technology lives and the data architecture that lies at its core. If one expects longevity from a platform, the architecture should be designed rather than accidental.

Architecture is more than just software. It starts from use and includes the data, technology, methods of building and maintaining, and organization of people. But what are the design principles that lead to good design and a functional data architecture, and what are the assumptions that limit older approaches? How can one integrate with, migrate from, or modernize an existing data environment? How will this affect an organization’s data management practices?

Mark Madsen and Todd Walter explore design assumptions and principles to apply when building multiuse data infrastructure and walk you through a reference architecture to use as you work to unify your analytics infrastructure.

Photo of Mark Madsen

Mark Madsen


Mark Madsen is a Fellow at Teradata, where he’s responsible for understanding, forecasting, and defining analytics ecosystems and architectures. Previously, he was CEO of Third Nature, where he advised companies on data strategy and technology planning, and vendors on product management. Mark has designed analysis, machine learning, data collection, and data management infrastructure for companies worldwide.

Photo of Todd Walter

Todd Walter


Todd Walter is chief technologist and fellow at Teradata, where he helps business leaders, analysts, and technologists better understand all of the astonishing possibilities of big data and analytics in view of emerging and existing capabilities of information infrastructures. Todd has been with Teradata for more than 30 years. He’s a sought-after speaker and educator on analytics strategy, big data architecture, and exposing the virtually limitless business opportunities that can be realized by architecting with the most advanced analytic intelligence platforms and solutions. Todd holds more than a dozen patents.