The goal-oriented business intelligence architectures method: a process-based approach to combine traditional and novel analytical technologies
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1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Münster
WWU
2020
|
Schriftenreihe: | Wissenschaftliche Schriften der WWU Münster, Reihe IV
Band 18 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Abweichender Titel auf dem Rücken: The GOBIA method |
Beschreibung: | xv, 530 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 701 g |
ISBN: | 9783840502262 3840502268 |
Internformat
MARC
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100 | 1 | |a Fekete, David |d 1987- |e Verfasser |0 (DE-588)1211585115 |4 aut | |
245 | 1 | 0 | |a The goal-oriented business intelligence architectures method |b a process-based approach to combine traditional and novel analytical technologies |c David Fekete |
246 | 1 | 3 | |a The GOBIA method |
264 | 1 | |a Münster |b WWU |c 2020 | |
300 | |a xv, 530 Seiten |b Illustrationen, Diagramme |c 21 cm x 14.8 cm, 701 g | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Wissenschaftliche Schriften der WWU Münster, Reihe IV |v Band 18 | |
500 | |a Abweichender Titel auf dem Rücken: The GOBIA method | ||
502 | |b Dissertation |c Universität Münster |d 2018 | ||
650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Business Intelligence |0 (DE-588)4588307-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Unternehmensarchitektur |0 (DE-588)7856257-0 |2 gnd |9 rswk-swf |
653 | |a business intelligence | ||
653 | |a architectures | ||
653 | |a goal-oriented | ||
653 | |a big data | ||
653 | |a technology selection | ||
653 | |a analytics | ||
653 | |a Business Intelligence | ||
653 | |a Architekturen | ||
653 | |a ziel-orientiert | ||
653 | |a Big Data | ||
653 | |a Technologieauswahl | ||
653 | |a Analytics | ||
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Business Intelligence |0 (DE-588)4588307-5 |D s |
689 | 0 | 1 | |a Big Data |0 (DE-588)4802620-7 |D s |
689 | 0 | 2 | |a Unternehmensarchitektur |0 (DE-588)7856257-0 |D s |
689 | 0 | 3 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
689 | 0 | |5 DE-604 | |
710 | 2 | |a Universitäts- und Landesbibliothek Münster |0 (DE-588)5091030-9 |4 pbl | |
830 | 0 | |a Wissenschaftliche Schriften der WWU Münster, Reihe IV |v Band 18 |w (DE-604)BV037255919 |9 4,18 | |
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999 | |a oai:aleph.bib-bvb.de:BVB01-032190976 |
Datensatz im Suchindex
_version_ | 1804181563855863808 |
---|---|
adam_text | CONTENTS
1
INTRODUCTION
.......................................................................................
1
1.1
MOTIVATION
.................................................................................
1
1.2
STRUCTURE
AND
RESEARCH
METHOD
...............................................
6
1.3
FROG
AIR
SAMPLE
CASE
...........................................................
15
2
BACKGROUND
.......................................................................................
17
2.1
TRADITIONAL
BUSINESS
INTELLIGENCE
...........................................
17
2.1.1
RELATIONAL
DATABASE
MANAGEMENT
SYSTEMS
AND
SQL
.
21
2.1.2
DATA
WAREHOUSES
........................................................
31
2.2
BIG
DATA
TECHNOLOGIES
..............................................................
50
2.2.1
BIG
DATA
PHENOMENON
AND
CHARACTERISTICS
................
50
2.2.2
NOSQL
DATA
STORES
.....................................................
61
2.2.3
HADOOP
DISTRIBUTED
FILE
SYSTEM
(HDFS)
...................
72
2.2.4
MAPREDUCE
....................................................................
79
2.2.5
HADOOP
ECOSYSTEM
.....................................................
86
2.2.6
STREAM
PROCESSING
........................................................
89
2.2.7
ADVANCEMENTS
TO
TRADITIONAL
TECHNOLOGIES
............
107
2.3
BIG
DATA
ANALYTICS
.......................................................................
HO
2.3.1
ANALYTICS
IN
THE
BIG
DATA
AGE
........................................
110
2.3.2
MACHINE
LEARNING
...........................................................
114
2.3.3
METHODS
..........................................................................
H8
2.3.4
NEW
ANALYTICS
DOMAINS
.................................................
124
2.4
PROCESS
MODELING
..........................................................................
129
2.5
REQUIREMENTS
ENGINEERING
...........................................................
132
2.5.1
GOALS
................................................................................
136
2.5.2
REQUIREMENTS
.................................................................
137
2.5.3
SYSTEM
DEVELOPMENT
APPROACHES
...............................
141
CONTENTS
2.5.4
FROG
AIR
CASE
EXAMPLE
..............................................
142
2.6
MULTI-PERSPECTIVE
ARCHITECTURE
ANALYSIS
...................................
149
2.6.1
METHODS
FOR
STRATEGIC
ANALYSIS
.....................................
149
2.6.2
TORE
ANALYSIS
FRAMEWORK
...........................................
152
3
ANALYTICAL
ARCHITECTURES
IN
RESEARCH
AND
PRACTICE
................
155
3.1
ARCHITECTURES
BACKGROUND
...........................................................
156
3.2
BIG
DATA
VALUE
CHAINS
.................................................................
164
3.2.1
ANALYSIS
OF
EXISTING
VALUE
CHAINS
...............................
165
3.2.2
A
UNIFIED
BIG
DATA
VALUE
CHAIN
..................................
173
3.3
DATA
WAREHOUSE
ARCHITECTURE
ADVANCEMENTS
.........................
178
3.3.1
DATA
WAREHOUSE
2.0
BY
I
NMON
.....................................
179
3.3.2
DATA
WAREHOUSES
AND
BIG
DATA
.....................................
180
3.4
BIG
DATA
REFERENCE
ARCHITECTURES
..............................................
183
3.4.1
BIG
DATA
REFERENCE
ARCHITECTURE
BY
P
AAKKONEN
AND
P
AKKALA
................................................................
184
3.4.2
NIST
BIG
DATA
REFERENCE
ARCHITECTURE
..............
189
3.4.3
BIG
DATA
SOLUTION
REFERENCE
ARCHITECTURE
BY
G
EERDINK
197
3.4.4
O
RACLE
BIG
DATA
PLATFORM
...........................................
201
3.4.5
LAMBDA
ARCHITECTURE
BY
M
ARZ
AND
W
ARREN
....
206
3.4.6
SOLID
ARCHITECTURE
BY
M
ARTINEZ
-P
RIETO
ET
AL
.
.
.
211
3.4.7
ANALYSIS
..........................................................................
214
3.5
BIG
DATA
ARCHITECTURES
IN
PRACTICE
..............................................
222
3.6
SELECTION
CRITERIA
FOR
ANALYTICAL
ARCHITECTURES
........................
230
3.7
SOLUTION
ARTIFACT
REQUIREMENTS
.................................................
234
3.7.1
SOLUTION
AND
DESIGN
PRINCIPLES
.....................................
235
3.7.2
REQUIREMENTS
OVERVIEW
.................................................
238
4
GOAL-ORIENTED
BUSINESS
INTELLIGENCE
ARCHITECTURES
(GOBIA)
METHOD
...................................................................................................
241
4.1
OVERVIEW
OF
THE
APPROACH
............................................................
242
4.1.1
DESIGN
APPROACH
...........................................................
244
4.1.2
METHOD
SCOPE
.................................................................
247
VI
CONTENTS
4.1.3
EXECUTION
IN
CYCLES
........................................................
252
4.2
GOBIA.REF
...................................................................................
253
4.2.1
FUNCTIONAL
REFERENCE
ARCHITECTURE
...............................
254
4.2.2
TECHNOLOGICAL
REFERENCE
ARCHITECTURE
.........................
259
4.3
GOBIA.DEV
................................................................................
272
4.3.1
PHASE
I
.............................................................................
273
4.3.2
PHASE
II
.............................................................................
288
4.3.3
PHASE
IB
..........................................................................
298
4.4
POST-GOBIA
ACTIVITIES
.................................................................
318
4.5
EXTENDING
THE
GOBIA
METHOD
....................................................
322
4.5.1
UPDATING
THE
GOBIA
TOOL
REPOSITORY
........................
323
4.5.2
UPDATING
GOBIA.REF
....................................................
331
4.5.3
UPDATING
GOBIA.DEV
....................................................
333
5
EVALUATION
........................................................................................
337
5.1
EVALUATION
METHOD
..................................................................
337
5.2
SELECTED
CASE
APPLICATIONS
......................................................
339
5.2.1
STREAM
ANALYTICS:
HOSPITAL
ASSET
MANAGEMENT
.
.
.
340
5.2.2
ADVANCED
ANALYTICS:
HOUSING
PRICE
PREDICTION
.
.
.
368
5.2.3
BIG
DATA
ANALYTICS:
PLAGIARISM
CHECKING
.................
383
5.3
EVALUATION
RESULTS
DISCUSSION
................................................
397
5.3.1
SUMMARY
OF
RESULTS
...................................................
397
5.3.2
REFLECTION
ON
THE
SOLUTION
ARTIFACT
REQUIREMENTS
.
.
400
6
DISCUSSION
........................................................................................
407
7
CONCLUSION
.........................................................................................
411
7.1
SUMMARY
..................................................................................
411
7.2
OUTLOOK
.....................................................................................
415
BIBLIOGRAPHY
............................................................................................
419
LIST
OF
WEB
PAGES
......................................................................................
447
VII
CONTENTS
LIST
OF
ABBREVIATIONS
................................................................................
485
A
ARCHITECTURE
LITERATURE
SEARCH
DETAILS
.......................................
491
B
SUPPLEMENTARY
GOBIA
MODELS
.......................................................
497
C
GOBIA
TOOL
REPOSITORY
...................................................................
507
C.L
TOOL
LISTS
.......................................................................................
507
C.1.1
DATA
ACQUISITION
..............................................................
508
C.L.
2
DATASTORAGE
.....................................................................
509
C.1.3
DATA
PROCESSING
..............................................................
513
C.1.4
DATA
ANALYTICS
.................................................................
513
C.2
COMPATIBILITY
MATRIX
....................................................................
519
VIII
|
adam_txt |
CONTENTS
1
INTRODUCTION
.
1
1.1
MOTIVATION
.
1
1.2
STRUCTURE
AND
RESEARCH
METHOD
.
6
1.3
FROG
AIR
SAMPLE
CASE
.
15
2
BACKGROUND
.
17
2.1
TRADITIONAL
BUSINESS
INTELLIGENCE
.
17
2.1.1
RELATIONAL
DATABASE
MANAGEMENT
SYSTEMS
AND
SQL
.
21
2.1.2
DATA
WAREHOUSES
.
31
2.2
BIG
DATA
TECHNOLOGIES
.
50
2.2.1
BIG
DATA
PHENOMENON
AND
CHARACTERISTICS
.
50
2.2.2
NOSQL
DATA
STORES
.
61
2.2.3
HADOOP
DISTRIBUTED
FILE
SYSTEM
(HDFS)
.
72
2.2.4
MAPREDUCE
.
79
2.2.5
HADOOP
ECOSYSTEM
.
86
2.2.6
STREAM
PROCESSING
.
89
2.2.7
ADVANCEMENTS
TO
TRADITIONAL
TECHNOLOGIES
.
107
2.3
BIG
DATA
ANALYTICS
.
HO
2.3.1
ANALYTICS
IN
THE
BIG
DATA
AGE
.
110
2.3.2
MACHINE
LEARNING
.
114
2.3.3
METHODS
.
H8
2.3.4
NEW
ANALYTICS
DOMAINS
.
124
2.4
PROCESS
MODELING
.
129
2.5
REQUIREMENTS
ENGINEERING
.
132
2.5.1
GOALS
.
136
2.5.2
REQUIREMENTS
.
137
2.5.3
SYSTEM
DEVELOPMENT
APPROACHES
.
141
CONTENTS
2.5.4
FROG
AIR
CASE
EXAMPLE
.
142
2.6
MULTI-PERSPECTIVE
ARCHITECTURE
ANALYSIS
.
149
2.6.1
METHODS
FOR
STRATEGIC
ANALYSIS
.
149
2.6.2
TORE
ANALYSIS
FRAMEWORK
.
152
3
ANALYTICAL
ARCHITECTURES
IN
RESEARCH
AND
PRACTICE
.
155
3.1
ARCHITECTURES
BACKGROUND
.
156
3.2
BIG
DATA
VALUE
CHAINS
.
164
3.2.1
ANALYSIS
OF
EXISTING
VALUE
CHAINS
.
165
3.2.2
A
UNIFIED
BIG
DATA
VALUE
CHAIN
.
173
3.3
DATA
WAREHOUSE
ARCHITECTURE
ADVANCEMENTS
.
178
3.3.1
DATA
WAREHOUSE
2.0
BY
I
NMON
.
179
3.3.2
DATA
WAREHOUSES
AND
BIG
DATA
.
180
3.4
BIG
DATA
REFERENCE
ARCHITECTURES
.
183
3.4.1
BIG
DATA
REFERENCE
ARCHITECTURE
BY
P
AAKKONEN
AND
P
AKKALA
.
184
3.4.2
NIST
BIG
DATA
REFERENCE
ARCHITECTURE
.
189
3.4.3
BIG
DATA
SOLUTION
REFERENCE
ARCHITECTURE
BY
G
EERDINK
197
3.4.4
O
RACLE
BIG
DATA
PLATFORM
.
201
3.4.5
LAMBDA
ARCHITECTURE
BY
M
ARZ
AND
W
ARREN
.
206
3.4.6
SOLID
ARCHITECTURE
BY
M
ARTINEZ
-P
RIETO
ET
AL
.
.
.
211
3.4.7
ANALYSIS
.
214
3.5
BIG
DATA
ARCHITECTURES
IN
PRACTICE
.
222
3.6
SELECTION
CRITERIA
FOR
ANALYTICAL
ARCHITECTURES
.
230
3.7
SOLUTION
ARTIFACT
REQUIREMENTS
.
234
3.7.1
SOLUTION
AND
DESIGN
PRINCIPLES
.
235
3.7.2
REQUIREMENTS
OVERVIEW
.
238
4
GOAL-ORIENTED
BUSINESS
INTELLIGENCE
ARCHITECTURES
(GOBIA)
METHOD
.
241
4.1
OVERVIEW
OF
THE
APPROACH
.
242
4.1.1
DESIGN
APPROACH
.
244
4.1.2
METHOD
SCOPE
.
247
VI
CONTENTS
4.1.3
EXECUTION
IN
CYCLES
.
252
4.2
GOBIA.REF
.
253
4.2.1
FUNCTIONAL
REFERENCE
ARCHITECTURE
.
254
4.2.2
TECHNOLOGICAL
REFERENCE
ARCHITECTURE
.
259
4.3
GOBIA.DEV
.
272
4.3.1
PHASE
I
.
273
4.3.2
PHASE
II
.
288
4.3.3
PHASE
IB
.
298
4.4
POST-GOBIA
ACTIVITIES
.
318
4.5
EXTENDING
THE
GOBIA
METHOD
.
322
4.5.1
UPDATING
THE
GOBIA
TOOL
REPOSITORY
.
323
4.5.2
UPDATING
GOBIA.REF
.
331
4.5.3
UPDATING
GOBIA.DEV
.
333
5
EVALUATION
.
337
5.1
EVALUATION
METHOD
.
337
5.2
SELECTED
CASE
APPLICATIONS
.
339
5.2.1
STREAM
ANALYTICS:
HOSPITAL
ASSET
MANAGEMENT
.
.
.
340
5.2.2
ADVANCED
ANALYTICS:
HOUSING
PRICE
PREDICTION
.
.
.
368
5.2.3
BIG
DATA
ANALYTICS:
PLAGIARISM
CHECKING
.
383
5.3
EVALUATION
RESULTS
DISCUSSION
.
397
5.3.1
SUMMARY
OF
RESULTS
.
397
5.3.2
REFLECTION
ON
THE
SOLUTION
ARTIFACT
REQUIREMENTS
.
.
400
6
DISCUSSION
.
407
7
CONCLUSION
.
411
7.1
SUMMARY
.
411
7.2
OUTLOOK
.
415
BIBLIOGRAPHY
.
419
LIST
OF
WEB
PAGES
.
447
VII
CONTENTS
LIST
OF
ABBREVIATIONS
.
485
A
ARCHITECTURE
LITERATURE
SEARCH
DETAILS
.
491
B
SUPPLEMENTARY
GOBIA
MODELS
.
497
C
GOBIA
TOOL
REPOSITORY
.
507
C.L
TOOL
LISTS
.
507
C.1.1
DATA
ACQUISITION
.
508
C.L.
2
DATASTORAGE
.
509
C.1.3
DATA
PROCESSING
.
513
C.1.4
DATA
ANALYTICS
.
513
C.2
COMPATIBILITY
MATRIX
.
519
VIII |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Fekete, David 1987- |
author_GND | (DE-588)1211585115 |
author_facet | Fekete, David 1987- |
author_role | aut |
author_sort | Fekete, David 1987- |
author_variant | d f df |
building | Verbundindex |
bvnumber | BV046781807 |
classification_rvk | ST 530 QH 500 |
ctrlnum | (OCoLC)1164656709 (DE-599)DNB1210063778 |
discipline | Informatik Wirtschaftswissenschaften |
discipline_str_mv | Informatik Wirtschaftswissenschaften |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV046781807 |
illustrated | Illustrated |
index_date | 2024-07-03T14:50:12Z |
indexdate | 2024-07-10T08:53:39Z |
institution | BVB |
institution_GND | (DE-588)5091030-9 |
isbn | 9783840502262 3840502268 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032190976 |
oclc_num | 1164656709 |
open_access_boolean | |
owner | DE-703 DE-N2 DE-355 DE-BY-UBR |
owner_facet | DE-703 DE-N2 DE-355 DE-BY-UBR |
physical | xv, 530 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 701 g |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | WWU |
record_format | marc |
series | Wissenschaftliche Schriften der WWU Münster, Reihe IV |
series2 | Wissenschaftliche Schriften der WWU Münster, Reihe IV |
spelling | Fekete, David 1987- Verfasser (DE-588)1211585115 aut The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies David Fekete The GOBIA method Münster WWU 2020 xv, 530 Seiten Illustrationen, Diagramme 21 cm x 14.8 cm, 701 g txt rdacontent n rdamedia nc rdacarrier Wissenschaftliche Schriften der WWU Münster, Reihe IV Band 18 Abweichender Titel auf dem Rücken: The GOBIA method Dissertation Universität Münster 2018 Big Data (DE-588)4802620-7 gnd rswk-swf Business Intelligence (DE-588)4588307-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Unternehmensarchitektur (DE-588)7856257-0 gnd rswk-swf business intelligence architectures goal-oriented big data technology selection analytics Business Intelligence Architekturen ziel-orientiert Big Data Technologieauswahl Analytics (DE-588)4113937-9 Hochschulschrift gnd-content Business Intelligence (DE-588)4588307-5 s Big Data (DE-588)4802620-7 s Unternehmensarchitektur (DE-588)7856257-0 s Datenanalyse (DE-588)4123037-1 s DE-604 Universitäts- und Landesbibliothek Münster (DE-588)5091030-9 pbl Wissenschaftliche Schriften der WWU Münster, Reihe IV Band 18 (DE-604)BV037255919 4,18 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032190976&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Fekete, David 1987- The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies Wissenschaftliche Schriften der WWU Münster, Reihe IV Big Data (DE-588)4802620-7 gnd Business Intelligence (DE-588)4588307-5 gnd Datenanalyse (DE-588)4123037-1 gnd Unternehmensarchitektur (DE-588)7856257-0 gnd |
subject_GND | (DE-588)4802620-7 (DE-588)4588307-5 (DE-588)4123037-1 (DE-588)7856257-0 (DE-588)4113937-9 |
title | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies |
title_alt | The GOBIA method |
title_auth | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies |
title_exact_search | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies |
title_exact_search_txtP | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies |
title_full | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies David Fekete |
title_fullStr | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies David Fekete |
title_full_unstemmed | The goal-oriented business intelligence architectures method a process-based approach to combine traditional and novel analytical technologies David Fekete |
title_short | The goal-oriented business intelligence architectures method |
title_sort | the goal oriented business intelligence architectures method a process based approach to combine traditional and novel analytical technologies |
title_sub | a process-based approach to combine traditional and novel analytical technologies |
topic | Big Data (DE-588)4802620-7 gnd Business Intelligence (DE-588)4588307-5 gnd Datenanalyse (DE-588)4123037-1 gnd Unternehmensarchitektur (DE-588)7856257-0 gnd |
topic_facet | Big Data Business Intelligence Datenanalyse Unternehmensarchitektur Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032190976&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV037255919 |
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