Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Architecting a data platform for enterprise use

Mark Madsen (Think Big Analytics), Todd Walter (Teradata)
9:0012:30 Tuesday, 22 May 2018
Data engineering and architecture
Location: Capital Suite 14 Level: Intermediate
Secondary topics:  Data Platforms
Average rating: ****.
(4.75, 4 ratings)

Who is this presentation for?

  • Architects, system designers, and managers who would like to understand the broader picture of 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 multi-application and multiuse data infrastructure

Description

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.

Topics include:

  • A brief history of data infrastructure and past design assumptions
  • Categories of data and data use in organizations
  • Analytic workload characteristics and constraints
  • Data architecture
  • Functional architecture
  • Trade-offs between different classes of technology
  • Technology planning assumptions and guidance
Photo of Mark Madsen

Mark Madsen

Think Big Analytics

Mark Madsen is the global head of architecture at Think Big Analytics, where he is responsible for understanding, forecasting, and defining the analytics landscape and architecture. 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, data collection, and data management infrastructure for companies worldwide.

Photo of Todd Walter

Todd Walter

Teradata

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.

Comments on this page are now closed.

Comments

Morten Wiingaard | SENIOR DATA ARCHITECT
24/05/2018 12:23 BST

Thanks for a great presentation! Pæease post the url for the slides.

Marek Kovar |
22/05/2018 16:20 BST

…found it in the FAQ.

Marek Kovar |
22/05/2018 14:36 BST

Hello.

Thank you for the interesting presentation. Would it be possible to share the presented slides?

BR,
Marek.