E027 – The Data Quadrant

Ronald DamhofMy guest in today’s episode is Ronald Damhof (@ronalddamhof), the creator of the Data Quadrant. This quadrant is a sense-making framework in the complex word of data that enables a common frame of reference between managers, domain experts and engineers. This model is used by many organisations to formulate data strategy and justify investments in the data domain. It is used as the strategic underpinning for a data architecture, it guides the ‘rules of the game’ and it separates the fundamental concerns in data. Furthermore, it explains how an organisation can toggle the need to innovate with data and the need to deploy and use data at scale, repeatedly, safe, lawful, with constant quality and robust.

 

 

Data Quadrant

Topics:

  • Ronald background as a “data fundamentalist”
  • His concept of a full scale data architect
  • The push / pull point, from 1950s Toyota, applied to data
  • Development styles from systemic to opportunistic
  • Data Vault’s influence on the quadrant
  • Where data modelling (Q1) and data lakes (Q3) fit into the quadrants
  • Where should you start? Q1/Q2 or Q3/Q4
  • 90% of organizations in the Netherlands are using Data Vault

General recommendations on tools by quadrant:

  • Q1
    • Automation – Wherescape or custom
    • Federalization – mainly still RDBMS
  • Q2
    • API’ing the data
    • Losing faith in datasets and data marts
  • Q3
    • Fast infra
    • Doesn’t believe Hadoop is a good fit for most orgs.
    • Likes fast analytical DBs like Vertica or MonetDB?
  • Q4
    • Open source
    • R, Python, Git, Dataiku
    • Abstraction layer away from code is helpful
    • Azure Platform

Ronald Damhof’s background:

  • Primary degree in Economics
  • Certified Data Vault Grand Master
  • Data Architect at the Dutch Central Bank in the Netherlands

Music

Deep Sky Blue by Graphiqs Groove via FreeMusicArchive.org

Sources: