DW Navigator only for web id 14 Nieznany

background image

COMPUTERWORLD & Atre Associates

S p e c i a l A d v e r t i s i n g S u p p l e m e n t

A Visual Tool to
Data Warehouse
Implementation

Data Warehouse/

Data Mart Navigator

step 1

Determine Users'

Needs

• Does the company

need a

data

warehouse... or eve

n a data

mart?

• What are the busin

ess obje

ctives?

• Where do I get the

data fro

m?

• Perform cost/ben

efit

analysis, project

estimation and ri

sk

assessment.

step

12

De

plo

ym

ent

& S

yste

ms M

anag

ement

Ho

w c

an

I p

rov

ide

secu

rity, b

ackup

,

rec

ove

ry a

nd

the

nec

essa

ry

ca

pab

iliti

e

s fo

r a p

rodu

ction

da

ta w

are

hou

se o

r dat

a mart

?

• H

ow

ca

n re

sou

rces

be

allo

cat

e

d b

est?

• H

ow

c

an

the

grow

th

of t

he

dat

a be

acc

o

mm

oda

ted?

• H

ow

can

every

-

thin

g b

e ke

pt

run

nin

g

sm

oot

hly?

st

ep

11

On

lin

e A

na

lyt

ic

al

Pr

oc

es

sin

g (

OL

AP

)

• H

ow

ca

n u

se

rs

an

aly

ze

the

da

ta?

• H

ow

ca

n t

he

ne

ce

ss

ar

y n

um

be

r

of

di

me

ns

ion

s b

e d

ete

rm

ine

d?

• H

ow

ca

n

us

er

s s

ee

the

da

ta

re

pr

es

en

te

d i

n m

ult

ipl

e

di

m

en

si

on

s?

• H

ow

ca

n t

he

y u

se

th

e

OL

AP

to

ols

?

st

ep

10

Da

ta

M

in

in

g

Ho

w

do

If

in

d

pa

tte

rn

s

in

th

e

da

ta

?

•H

ow

ca

n

th

os

e

pa

tte

rn

s

be

us

ed

fo

rr

ev

en

ue

gr

ow

th

?

•H

ow

ca

n

to

ol

s

be

us

ed

to

fu

rth

er

id

en

tif

y

th

e

da

ta

w

ar

eh

ou

se

or

da

ta

m

ar

t?

ste

p

9

Pro

tot

yp

ing

,Q

ue

ryin

g

&

Re

po

rtin

g

Us

e

qu

ery

an

d

re

po

rtin

g

too

ls?

•D

ev

elo

p

ap

plic

atio

ns

?

us

er

inv

olv

em

en

t?

Im

ple

m

en

ta

pro

toty

pe

w

ith

Ho

w

do

I:

step

8

Det

erm

ine

Mid

dlew

are

Con

necti

vity

Dir

ect

data

acc

ess

On

goin

g c

onn

ectio

n

wa

reh

ous

e o

r da

ta m

art?

dat

a t

o th

e ta

rge

t da

ta

Ho

w

d

o I

con

nec

t the

sou

rce

step 7

Transfo

rmation,

Transportatio

n, Population

or data

mart.

• Pop

ulate th

e data wareh

ouse

• Tra

nsport

the data.

• Tra

nsform

the data.

ware

house

or data mart?

How

do I bu

ild the data

step

6

Data Ac

quisi

tion

& Cl

ean

s

ing

data m

art?

for the

data

war

eho

use

or t

he

data fro

m va

r

ious

sou

rce

s

• Aggreg

ate

• Summa

rize

• Reconc

ile

• Cleans

e

• Scrub

• Extract

How do I

:

ste

p 5

Co

ns

tru

ct

the

M

et

ad

at

a R

ep

os

ito

ry

me

tad

at

a

re

po

sit

or

y.

us

er

’s

vie

w

of

th

e

• D

ete

rm

in

e t

he

bu

sin

es

s

• B

uil

d a

re

po

sit

or

y.

ac

ce

ss

ed

?

it a

nd

ho

w

it

ca

n b

e

wh

at,

wh

o c

an

ac

ce

ss

tra

ck

of

wh

a

t m

ea

ns

Ho

w

do

I k

ee

p

step

2

Dete

rmin

e D

BM

S S

erv

e

r P

latf

orm

• W

hich

data

base

serv

ers

d

o w

e

alrea

dy h

ave?

• De

term

ine

cost

, inte

ro

pera

-

ability

and

staff

train

i

ng

cons

idera

tion

s.

• De

term

ine

DBM

S

serv

er

platfo

rm

base

d

on

Retu

rn

on In

vestm

ent

(R

OI)

ste

p

3

De

ter

m

ine

Ha

rdw

are

Pla

tfo

rm

W

he

re

sh

ou

ld

the

da

ta

w

are

ho

us

e

or

da

ta

m

art

be

ho

us

ed

?

W

hic

h

ha

rdw

are

pla

tfo

rm

s

do

w

e

alr

ea

dy

ha

ve

?

De

ter

m

ine

co

sts

,in

ter

op

er-

ab

ility

an

d

sta

fftr

ain

ing

co

ns

ide

rat

ion

s.

De

ter

m

ine

ha

rdw

are

ba

se

d

on

Re

tur

n

on

Inv

es

tm

en

t(R

OI)

.

ste

p

4

In

fo

rm

ati

on

&

Da

ta

M

od

eli

ng

Bu

ild

ing

an

In

fo

rm

atio

n

M

od

el

Ho

w

do

Iu

se

a

da

ta

m

od

el

to

ex

pre

ss

re

lat

ion

sh

ips

be

-

tw

ee

n

th

e

da

ta

?

•R

es

olv

e

ac

ce

ss

an

d

us

ag

e

iss

ue

s.

•D

ete

rm

ine

th

e

log

ica

l

an

d

ph

ys

ica

ld

es

ign

of

th

e

da

ta

w

are

-

ho

us

e

or

da

ta

m

art

.

Special Fold-out Poster

Presented by:

Developed by:

Sponsored by:

COMPUTERWORLD

The Newsweekly for IT Leaders

Atre Associates, Inc.

Leading Data Warehouse/Data Mart Consultants

background image

step 1

Determine Users'

Needs

• Does the company

need a

data

warehouse... or eve

n a data

mart?

• What are the busin

ess obje

ctives

?

• Where do I get the

data fro

m?

• Perform cost/ben

efit

analysis, project

estimation and

risk

assessment.

ste

p 1

2

De

plo

ym

ent

& S

yste

ms M

anag

ement

Ho

w

ca

n I

pro

vide

sec

urity

, bac

kup,

rec

ov

ery

and

the

nec

essa

ry

ca

pa

bili

ties

for

a pr

oduc

tion

da

ta

wa

reh

ous

e or

data

mart?

• H

ow

can

res

ourc

es be

all

oc

ate

d b

est?

• H

ow

can

the

grow

th

of

the

dat

a be

ac

com

mo

date

d?

• H

ow

can

ever

y-

thi

ng

be

kept

run

nin

g

sm

oot

hly?

s

te

p

11

O

nl

in

e

A

na

ly

tic

al

Pr

oc

es

si

ng

(O

LA

P)

H

ow

ca

n

us

er

s

an

al

yz

e

th

e

da

ta

?

H

ow

ca

n

th

e

ne

ce

ss

ar

y n

um

be

r

of

di

m

en

si

on

s

be

de

te

rm

in

ed

?

H

o

w

ca

n

us

er

s

se

e

th

e

da

ta

re

p

re

se

nt

ed

in

m

ul

tip

le

di

m

en

si

on

s?

H

o

w

ca

n

th

ey

us

e

th

e

O

LA

P

to

ol

s?

st

e

p

10

D

a

ta

M

in

in

g

H

o

w

d

o

I

fi

n

d

p

a

tt

e

rn

s

in

th

e

d

a

ta

?

H

o

w

c

a

n

th

o

se

p

a

tt

e

rn

s

b

e

u

se

d

fo

r

re

ve

n

u

e

g

ro

w

th

?

H

o

w

c

a

n

to

o

ls

b

e

u

se

d

to

fu

rt

h

e

r

id

e

n

ti

fy

p

a

tt

e

rn

s

in

th

e

d

a

ta

w

a

re

h

o

u

se

o

r

d

a

ta

m

a

rt

?

st

ep

9

P

ro

to

ty

p

in

g,

Q

ue

ry

in

g

&

R

ep

or

tin

g

U

se

q

u

e

ry

a

n

d

re

p

or

tin

g

to

ols

?

D

e

ve

lo

p

a

p

p

lic

a

tio

ns

?

u

se

r

in

vo

lv

e

m

e

n

t?

Im

p

le

m

e

n

t

a

p

ro

to

ty

p

e

w

ith

H

o

w

d

o

I:

s

tep

8

De

ter

m

ine

M

idd

lew

are

Con

nec

tivity

Dir

ec

t d

ata

ac

ces

s

On

go

ing

co

nn

ect

ion

w

are

ho

us

e

or

da

ta

ma

rt?

da

ta

to

the

tar

ge

t da

ta

H

ow

do

I c

on

ne

ct th

e

sou

rce

step 7

Transf

ormatio

n, Transporta

tion, Population

or data

mart.

• Pop

ulate th

e data wareh

ouse

• Tra

nsport

the data.

• Tra

nsform

the data.

ware

house

or data mart?

How

do I bu

ild the data

step

6

Data A

cquis

ition

& C

lean

sing

data m

art?

for the

data

war

eho

use

or t

he

…data f

rom v

ario

us s

our

ces

• Summ

arize

• Aggreg

ate

• Recon

cile

Scrub

• Clean

se

• Extrac

t

How do

I…

st

ep

5

Co

ns

tru

ct

th

e

M

et

ad

at

a

Re

po

si

to

ry

m

et

ad

at

a

re

po

si

to

ry

.

us

er

’s

vi

ew

of

th

e

De

te

rm

in

e

th

e

bu

si

ne

ss

Bu

ild

a

re

po

si

to

ry

.

ac

ce

ss

ed

?

it a

nd

ho

w

it

ca

n

be

w

ha

t,

w

ho

ca

n

ac

ce

ss

tra

ck

of

w

ha

t m

ea

ns

Ho

w

do

I k

ee

p

ste

p

2

Dete

rmin

e D

BM

S

Se

rve

r P

lat

fo

rm

• W

hich

da

tab

ase

ser

ver

s d

o

w

e

alr

ead

y ha

ve?

• D

eter

mi

ne

cos

t, in

tero

pe

ra-

abilit

y a

nd

sta

ff tr

ain

ing

con

side

ratio

ns.

• D

e

term

ine

DB

M

S

se

rve

r

pl

atfo

rm

bas

ed

on

Re

tur

n

on

Inve

stm

en

t (R

OI)

ste

p

3

D

ete

rm

in

e

H

ar

dw

ar

e

P

la

tfo

rm

W

he

re

sh

o

u

ld

th

e

d

a

ta

w

a

re

h

o

u

se

or

da

ta

m

a

rt

b

e

h

o

u

se

d

?

W

hic

h

ha

rd

w

ar

e

pl

at

fo

rm

s

do

w

e

a

lre

a

d

y

h

a

ve

?

D

et

er

m

in

e

co

st

,

in

te

ro

p

e

r-

ab

ilit

y

a

n

d

sta

ff

tra

in

in

g

co

ns

id

e

ra

tio

n

s.

D

et

e

rm

in

e

h

a

rd

w

a

re

ba

se

d

on

R

e

tu

rn

o

n

In

ve

stm

en

t

(R

O

I).

st

e

p

4

In

fo

rm

a

tio

n

&

D

a

ta

M

o

d

e

lin

g

B

u

ild

in

g

a

n

In

fo

rm

a

tio

n

M

o

d

e

l

H

o

w

d

o

I

u

se

a

d

a

ta

m

o

d

e

lto

e

xp

re

ss

re

la

tio

n

sh

ip

s

b

e

-

tw

e

e

n

th

e

d

a

ta

?

R

e

so

lv

e

a

c

c

e

ss

a

n

d

u

sa

g

e

is

su

e

s.

D

e

te

rm

in

e

th

e

lo

g

ic

a

l

a

n

d

p

h

ys

ic

a

ld

e

sig

n

o

f

th

e

d

a

ta

w

a

re

-

h

o

u

se

o

r

d

a

ta

m

a

rt.

© 1997, Atre Associates, Inc. Note: Product listings are not intended to be exhaustive. Products listed are merely representati

ve of their respective categories. The Data W

arehouse Navigator is a trademark of Computerworld, Inc.

COMPUTERWORLD

The Newsweekly for IT Leaders

Leading Data Warehouse/Data Mart Consultants

http://www.atre.com

Presented by:

Atre Associates, Inc.

Developed by:

®

For

add

itio

na

l co

pie

s o

f th

is p

ost

er,

ple

ase

ca

ll 1

(8

00

) 5

44

-7

33

7.

Navigator

 Determine Users' Needs

Relational Data:
Cincom Systems SUPRA (Tbytes)
Computer Associates Int'l
OpenIngres

(Tbytes)

IBM DB2 Products (Tbytes)
Informix
Informix

(DSA)

(Tbytes)

NCR Teradata RDBMS (Tbytes)
Oracle Corp. Oracle (Tbytes)
Sybase System11 & IQ (Tbytes)
Tandem NonStop SQL (Tbytes)
Other _______________

Legacy Data:
Cincom Systems TOTAL
Computer Associates Int'l

CA-IDMS, CA-Datacom

Computer Corp. of America
MODEL-204
Digital Equipment Corp.
RMS

(Gbytes)

IBM IMS, VSAM, SAM
Information Builders FOCUS
Oracle/Digital Equipment Corp.
Rdb

(Gbytes)

Software AG ADABAS
Other _______________

Groupware:
IBM/Lotus Notes
Microsoft Exchange
Novell Groupwise
Other _______________

Other Sources:
❑ Dow Jones
❑ Image Data
❑ Internet
NCR Business Discovery,
Information

Discovery

❑ Newsfeeds
Other _______________

 Determine Hardware Platform

MVS-Based or Midrange:
❑ DEC VAX
❑ IBM, AS/400
Other _______________

Unix-Based:
❑ Data General
❑ Hewlett-Packard
❑ IBM
NCR WorldMark Series
❑ Sequent Computer Systems
❑ Siemens Pyramid
❑ Silicon Graphics
❑ Sun Microsystems
❑ Unisys
Other _______________

Windows/Windows NT- & Intel-Based:
❑ DEC Alpha
❑ IBM and Compatibles
NCR WorldMark Series
Other _______________

Disk Storage:
❑ EMC Corp.

(Disk Array with RAID)

❑ IBM (Adstar Distributed
Storage

Manager)

❑ Storage Computer Corp.
❑ Storage Technology
(Iceberg)
Other _______________

 Information & Data Modeling

Data Modeling:
Cayenne Software
Groundworks

Terrain

Hyperion Analyst
LBMS Systems Engineer,
Process

Engineer

Logic Works
ERwin,

BPwin

NCR Application
Transaction

Modeling

Oracle Corp. Designer/2000
Popkin Software System Architect
Powersoft/Sybase S-Designor
SILVERRUN Technologies, Inc.

SILVERRUN

Other _______________

 Determine DBMS Server Platform

Relational DBMS:
Computer Associates Int'l

OpenIngres (Tbytes)

IBM DB2 Products (Tbytes)
Informix
Informix

(DSA)

(Tbytes)

Microsoft Corp.

SQL Server (Gbytes)

NCR Teradata Scalable Data
Warehouse

(Tbytes)

Oracle Corp.

Oracle (Tbytes)

Red Brick
Warehouse

(Tbytes)

Sybase
System11

&

IQ

(Tbytes)

Tandem

NonStop SQL (Tbytes)

Other _______________

Relational Parallel Server:
IBM DB2 Parallel Edition
Informix Informix OnLine

Extended Parallel Server (XPS)

NCR Teradata RDBMS
Oracle Corp.

Parallel Server Option (PSO)

Red Brick

Warehouse VPT and xPP

Sybase MPP Server
Tandem NonStop SQL/MP
Other _______________

Multidimensional Databases (MDD):
Arbor Software Essbase
Gentia Software GentiaDB
Holistic Systems Holos
Hyperion Enterprise
Kenan Technologies
Acumate

ES

Pilot (The Cognizant Corp.)

Pilot Analysis Server

SAS Institute System Basic
Other _______________

 Construct Metadata Repository

Carleton Passport, MetaCenter
Evolutionary Technologies Int'l
(ETI)

Metadata Exchange Library

Hewlett-Packard
Intelligent

Warehouse

IBM DataGuide/2
Intellidex Metadata Manager

Platinum Technology

PR/MVS Open Edition

Environment,

DataShopper

Prism Solutions
Dictionary

Manager

R&O Rochade Repository
Other _______________

 Data Acquisition & Cleansing

Carleton Passport
Evolutionary Technologies
Int'l

(ETI) Extract Tool Suite

Informatica PowerMart
Information Builders
EDA/Copy

Manager

NCR Teradata RDBMS
Fast

Load/Multi-load

Platinum Technology
InfoRefiner
Prism Solutions Warehouse
Manager,

Change

Manager

QDB Solutions (Prism Solutions)

Prism Quality Manager

SAS Institute SAS System

Software AG Natural,
Natural

Construct

Other _______________

Address Cleansing:
Apertus Technologies
Enterprise/Integrator,
Enterprise/Access
Group 1 Software NADIS, LSF
Harte-Hanks Data Technologies

Trillium Software System

Postalsoft Library Products
Vality Technology

Integrity Data Reengineering Tool

Other _______________

 Data Transformation, Transportation & Population

Carleton Passport
Computer Associates Int'l
CA-OpenIngres

Replicator,

XCOM

DB Star Migration Tool Suite
Hyperion Analyst
IBM DataPropagator
(Relational

&

Non-Relational)

IBM/Lotus Notes Pump
Informatica PowerMart
Intersolv DataDirect,
SmartData
NCR Teradata RDBMS
Fast

Load/Multi-load

Oracle Corp.
Symmetric

Replication

Platinum Technology
InfoPump,

InfoTransport

Praxis OmniReplicator
Prism Solutions
Sagent Technology, Inc.
Data

Mart

Server

SAS Institute SAS System
Smart Corp.

The SMART DB Workbench

Sterling Software
CONNECT:Direct
Sybase
Replication

Server

VMark Software HyperStar
Other _______________

Determine Middleware Connectivity

Computer Associates Int'l
CA-LDM,

XCOM

Cross Access Corp.

Data Delivery System

Information Builders
EDA/SQL

NCR TOP END
NCR Teradata Database Query Mgr.
Oracle Corp. SQLNet
Sybase Enterprise Connector
Software AG SourcePoint
Other _______________

Deployment & Systems Management

Computer Associates Int'l

CA-UniCenter

Hewlett-Packard
Intelligent

Warehouse

NCR TOP END, LifeKeeper

& Teradata RDBMS Tools

Tivoli

Management Environment (IBM)

Other _______________

Data Mining

Angoss KnowledgeSEEKER
ASA DB Profile
Data Mind Corp.
Data

Mind

Professional

Epsilon Data Management EQL
Group 1 Software Model Max,

Smart Marketing Suite

HyperParallel //Discovery
IBM Intelligent Miner
Information Discovery IDIS:3

Integral Solutions Ltd Clementine
NCR Knowledge Discovery
Workbench

(KDW)

Pavilion Technologies
Process

Insights

Pilot (The Cognizant Corp.)

Pilot Decision Support Suite

SAS Institute Data Mining
Silicon Graphics MineSet
Other _______________

Prototyping, Querying & Reporting

Ad hoc Queries & Reports:
Borland ReportSmith
Cognos Power Play
Crystal Reports (Seagate)

Crystal Info, Crystal Reports

Hewlett-Packard
Information

Access

Intersolv DataDirect Explorer
NCR Management
Discovery

Tool

Oracle Corp. Discoverer/2000
Platinum Technology
InfoReports
Sybase InfoMaker
Other _______________

Advanced Queries & Reports:
Andyne Computing GQL
Brio Technology BrioQuery
Business Objects
BusinessObjects
Cognos Impromptu
Computer Associates Int'l
CA-Visual

Express

Information Builders FOCUS
IQ Software Intelligent Query
Platinum Technology

Forest & Trees

SAS Institute SAS System
Software AG Esperant
Sterling Software
Vision:Clearaccess
Vision:Clearmanage
Other _______________

Online Analytical Processing (OLAP)

OLAP:
Axciom Market GEO
Advanced Visual Systems
AVS

Express

Andyne Computing PaBLO
Business Objects
BusinessObjects
Cognos Impromptu, PowerPlay
Comshare Commander
Dimensional Insight
CrossTarget,

DataFountain

Gentia Software GentiaDB
Holistic Systems Holos
Hyperion Analyst, Enterprise
IBM Intelligent Decision Server,
ShowCase

Vista

IQ Software IQ/Smart Server
Kenan Technologies Acumate
MapInfo MapInfo Desktop
MathSoft Rainier
NCR Management
Discovery

Tool

NetCube Cube Tech
Oracle Corp.

Express Objects, Express Analyzer

Pilot (The Cognizant Corp.)
LightShip

Professional

SAS Institute Application System,
EIS,

Visualization

Analytical

Object

Server

Other _______________

ROLAP (Relational OLAP):
Information Advantage
DecisionSuite
Informix MetaCube
MicroStrategy

DSS Agent, DSS Executive,

DSS Server, DSS Architect,

DSS

Web

Platinum Technology
InfoBeacon
Other _______________

Navigator

T H E

http://www.ncr.com

Data Warehouse/Data Mart

Data Warehouse/Data Mart

1

5

9

12

Determine
Users’ Needs

Data Warehouse/Data Mart Sequencing Chart

DBMS
Platform

Hardware
Platform

Data
Modeling

Metadata
Repository

Data Acquisition
& Cleansing

Transformation,
Transportation, Population

Middleware
Connectivity

Prototyping,
Querying & Reporting

Data
Mining

Online Analytical
Processing (OLAP)

Deployment &
Systems Management

Data
Mining

2

3

4

6

7

8

10

11

10


Wyszukiwarka

Podobne podstrony:
Domowa przyprawa warzywna id 14 Nieznany
EdM wzmacniacze for stud id 150 Nieznany
Dz U 2000 Nr 28 poz 346 id 14 Nieznany
Dz U 2005 nr 25 poz 202 id 14 Nieznany
dostepnosc farmaceutyczna id 14 Nieznany
DORADZANIE W SAMOLECZENIU id 14 Nieznany
drDubas produkcja biomasy id 14 Nieznany
dzwigar kratowy Model (3) id 14 Nieznany
Dyrektywa Rady 2000 76 WE id 14 Nieznany
dzielenie i laczenie kont id 14 Nieznany
dziewczynka z zapalkami 5 id 14 Nieznany
Druk Filozofia jakoci TQM id 14 Nieznany
Dyrektywa Rady 1999 13 WE id 14 Nieznany
dyzury zespol germanistow id 14 Nieznany
Dyrektywa PED 97 23 CE EN id 14 Nieznany
6 for prozniowe id 43632 Nieznany (2)

więcej podobnych podstron