keynote 5 juni 2014 - dutch data vault masters - shu-ha-ri
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Keynote given on the conference for and by Data Vault mastersTRANSCRIPT
R.D.Damhof - 2014
A decade of Data Vault in the Netherlands: Shu-Ha-RiBy Ronald Damhof
Email: [email protected] LinkedIn: nl.linkedin.com/in/ronalddamhof/ Twitter: RonaldDamhof Blog: prudenza.typepad.com
R.D.Damhof - 2014
R.D.Damhof - 2014
"protect", "obey" — traditional wisdom — !learning fundamentals, techniques,!heuristics, proverbs!
"detach", "digress" — breaking with!tradition — detachment from the!illusions of self!
"leave", "separate" — transcendence !there are no techniques or proverbs, all!moves are natural, becoming one with!spirit alone without clinging to forms;!transcending the physical
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DO NOT EMBRACE ‘Data Vault’ !
Instead, embrace the principles, discover the rules, make new rules, be that rule and thereby contribute to
advancements in our field
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R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - June 2014 - Data Valt Masters
1.Context is leading !
!
Be aware of frameworks, methods, protocols, best practices, blueprints, checklists
!
!
More so when it involves complex ‘systems’ (not to be confused with technical systems)
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1I. Data is like an asset, it is to be managed and governed in line with internal and external rules and legislation
!
Thou shall love your data !
For the last 50 years computing was about computers. For the next 50 years, it’s about data, reason and insight.
—Peter Drucker, 1998
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1II.Stop centering apps over data; data first !
Data transcends systems, apps, applications or whatever
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1V.It is all about the quality of our product; the data Get clean Stay clean Get access
!
Eliminate the dependence on inspection to achieve quality. Eliminate the need for inspection on a mass basis by building
quality into the product in the first place. —W.Edward Deming
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V. a) Thou shall make a fundamentalistic distinction between Fact and Context
!
b) Thou shall not forsake ‘Time’ !
‘Time’ in data is a menace, hugely underestimated, dangerously misunderstood and extremely valuable to achieve relevance,
accuracy, consistency, auditability, blabla
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VI. Data architecture is not the same as
technology architecture !
There are different concern on differs layers of abstraction
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VII. The science and practice of Information & Data Modeling
needs to be uphold, improved and taught !
In data; the modeler is the developer !
Long live the logical datamodel
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VIII. Specify, Standardize, Automate & Productise !
We gotta find a way to productise our knowledge, skill and experience. ‘We’ simply do a lousy job in scaling ourselves.
!
!
!
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IX. Thou can not buy your way out of the data misery you are in
!
!
R.D.Damhof – Prudenza BV - Copyright - 22 mei 2014R.D.Damhof - June 2014 - Data Valt Masters
X. There is a new saviour in town. Its name is Hadoop and it calls to us from its mountain:
!
‘we got a lake and thou shall throw all your data in it. The water will be clean so you can drink it, the water will flow so it will irrigate your lands, grow your stock, feed your kids and of
course bring you world peace…..’ !
nah, kidding ;-) !