A presentation byW H Inmon

KIMBALL vs INMON

the essence of the difference between Inmon and Kimball

Inmon –there needs to be a singleversion of the truth

datawarehouse

datamart

datamart

datamart

datamart

integratedhistoricalgranular

sales

finance

marketing

mgmt

HRsingle versionof the truth

the essence of the difference between Inmon and Kimball

datawarehouse

datamart

datamart

datamart

datamart

integratedhistoricalgranular

sales

finance

marketing

mgmt

HRsingle versionof the truth

the question being answered – what is the single versionof the truth? what is corporate data?

the essence of the difference between Inmon and Kimball

Kimball – a data warehouse is the unionof all of the data marts

datamart

datamart

sales

finance

HR

data mart

a data mart is based onbusiness function – Ralph Kimball

the essence of the difference between Inmon and Kimball

datamart

datamart

sales

finance

HR

data mart

the question being answered – how quickly can Ibuild reports? how quickly can I do analysis?

over time the architectures have evolved

1990 2000 2010

Inmon –Single versionof the truth

Kimball –a union ofdata marts

Inmon –an architecturecorporate informationfactory

Kimball –conformed dimension

Inmon –DW 2.0,unstructured data

Kimball –a need forintegration

1990 2000 2010

Inmon –Single versionof the truth

Kimball –a union ofdata marts

Inmon –an architecturecorporate informationfactory

Kimball –conformed dimension

Inmon –DW 2.0,unstructured data

Kimball –a need forintegration

Kimball is today where Inmon was in 1990What has Kimball said to all of those people whofollowed his teachings in 1990?

the essence of the difference between Inmon and Kimball

1990 2000 2010 2020

Inmon –Single versionof the truth

Kimball –a union ofdata marts

Inmon –an architecturecorporateinformationfactory

Kimball –conformeddimension

Inmon –DW 2.0,unstructured data

Kimball –a need forintegration

Kimball –unstructured data belongs in a datawarehouse

prediction – in 2020 the Kimballites will “discover”that textual data belongs in a data warehouse

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

Kimball Inmon

from an implementation perspective

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

daily refreshment of data

each of these lines must be crossedat least once a day

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

daily refreshment of data

mn

m n

m x n m + n

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

daily refreshment of data

mn

m n

m x n m + nhow many programs have to bewritten? have to be maintained?

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

daily refreshment of data

mn

m n

m x n m + n

which overnight batch processingwindow do you want?

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

$1000

$32000

$1,009,087

$1000

$32000

$1,009,087

reconciliation

in which environment would you ratherdo reconciliation?

appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts appl

mktg

sales

finance

mgmt

HR

Engineering

Production

datamarts

in which environment would you rather adda new data mart?

star schema(Kimball)

relational baseddata warehouse(Inmon)

from an architectural perspective

star schema(Kimball)

relational baseddata warehouse(Inmon)

good for fast reportsnot a short term propositiongood for a system of record

as an end user I am confused…there are 17 data marts that have informationand I don’t know which one to go to. And theyall have different information

every time there is a new requirementI have to start from scratch. And thesedarn data marts are hard to maintain.I have to build a new one every timethere is a change in requirements

we have had data marts for five years now.We have 250 of them and only 10 of themare actually being used today……

I’ve got these auditors coming in and I don’thave any data that I trust that I can showthem……

with Kimball, the starschema is the architecture with Inmon, the relational

foundation is only the start ofthe architecture

Verycurrent

Interactive

Less thancurrent

Near line

Te xt to s ubj

Text id ......

Interna l, external

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Current++

Integrated

Te xt to s ubj

Text id ......

Interna l, external

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Transactiondata

Appl

Appl

Appl

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Profiledata

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Profiledata

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Profiledata

O lder

Archival

Te xt to s ubj

Text id ......

Interna l, external

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

the Inmon approach is a FULL architectureleading to DW 2.0. And DW 2.0 is a truefull scale architecture

Verycurrent

Interactive

Less thancurrent

Near line

Te xt to s ub j

Text id ......

Interna l, external

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Curren t++

Integrated

Te xt to s ub j

Text id ......

Interna l, external

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Transactiondata

Appl

Appl

Appl

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Pro filedata

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Pro filedata

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Pro filedata

O lder

Archival

Te xt to s ub j

Text id ......

Interna l, external

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

DW 2.0 supports some really importantarchitectural features – - the life cycle of data within the data warehouse - the accommodation for very large amounts of data - the recognition that cost is the ultimate limiting factor for a data warehouse - unstructured data as an essential component - metadata as an essential component

ask Kimball how he supports unstructured data?ask Kimball how he supports metadata?ask Kimball how he supports really large amounts of data?ask Kimball how he supports archival data?

corporate data

structured data unstructured data

the vast majority of corporate data is not structured

structured data unstructured data

Kimball

structured data unstructured data

Inmon

the Inmon architecture is complete;the Kimball architecture is not

Verycurrent

Interactive

Less thancurrent

Near line

Text to subj

Text id ......

In terna l, ex te rnal

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Curren t++

Integ rated

Text to subj

Text id ......

In terna l, ex te rnal

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Transactiondata

Appl

Appl

Appl

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Pro filedata

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Pro filedata

Sum mary

Subj

Subj

Subj

Subj

Detailed Continuoussnapshotdata

Subj

Subj

Subj

Pro filedata

O lder

Archival

Text to subj

Text id ......

In terna l, ex te rnal

Textualsubjects

Capturedtext

Linkage

S im p lep oin te r

Florida

South AmericaNYCChicagoHawaiiSao PaoloMexicoCanada

BermudaDenverCalgaryLos AngelesGold CoastFloridaMiamiSan FranciscoSeattle

Kimball

Inmon

Kimball only addresses one small partof architecture. Inmon addresses a muchmore comprehensive picture

datawarehouse

datamart

datamart

datamart

datamart

datamart

integratedhistoricalgranular

sales

financemarketing

mgmt

HR

how Inmon/Kimball fit together