Architecting a data platform for enterprise use

Mark Madsen (Teradata), Todd Walter (Archimedata)

1:30pm–5:00pm Tuesday, September 24, 2019

Location: 1E 12/13

Data Engineering and Architecture

Secondary topics: BI, Interactive Analytics and Visualization, Cloud Platforms and SaaS, Data, Analytics, and AI Architecture

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Who is this presentation for?

Architects, system designers, and managers who would like to understand the broader picture of analytics infrastructure

Level

Intermediate

Description

The goal in most organizations is to build multiuse data infrastructure that isn’t subject to past constraints, but the focus in our market has been on acquiring technology while ignoring the larger IT landscape within which this technology lives and the data architecture that lies at its core. If you expect 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 you need to know what the design principles are that lead to good design and a functional data architecture; what assumptions limit older approaches; how you can integrate with, migrate from, or modernize an existing data environment; and how this will 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.

Prerequisite knowledge

A basic understanding of how data is used in organizations, application and platform architecture, and the concepts behind databases and other 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

Mark Madsen

Teradata

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.

Website

Todd Walter

Archimedata

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.