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

Executive Briefing: BI on big data

Mark Madsen (Third Nature)
16:3517:15 Wednesday, 23 May 2018
Data engineering and architecture, Executive Briefing, Strata Business Summit
Location: Capital Suite 17 Level: Beginner

Who is this presentation for?

  • Architects, designers, and managers

Prerequisite knowledge

  • A basic understanding of data platform and database concepts
  • Familiarity with BI tool categories and how tools access data (useful but not required)

What you'll learn

  • Explore the trade-offs between different frontend tool designs, between different backend SQL/OLAP on Hadoop implementations, and when mixing and matching front- and backend technologies


Data, data everywhere, but if your goal is to provide data to a business analyst rather than a data scientist, what’s the best way to deliver analytics? There are 70+ BI tools in the market and a dozen or more SQL- or OLAP-on-Hadoop open source projects. Mark Madsen and Shant Hovsepian discuss the trade-offs between a number of architectures that provide self-service access to data as well as the pros and cons of architectures, deployment strategies, and customer examples of BI on big data.

Topics include:

  • Traditional BI platforms based on semantic layers and SQL/MDX generation
  • Server and desktop BI tools based on direct mapping of data
  • Distributed BI platforms (e.g., MPP and data native)
  • OLAP- and SQL-on-Hadoop engines
Photo of Mark Madsen

Mark Madsen

Third Nature

Mark Madsen is a research analyst at Third Nature, where he advises companies on data strategy and technology planning, and the global head of architecture at Teradata, where he is responsible for understanding, forecasting, and defining the analytics landscape and architecture. Mark has designed analysis, data collection, and data management infrastructure for companies worldwide. He focuses on two types of work: the business applications of data and guiding the construction of data infrastructure. As a result, Mark does as much information strategy and IT architecture work as he does analytics.

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