DW 2.0: the architecture for the next generation of data warehousing
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam [u.a.]
Kaufmann
2008
|
| Series: | The Morgan Kaufmann series in data management systems
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes index. |
| Physical Description: | XXI, 371 S. Ill., graph. Darst. |
| ISBN: | 9780123743190 |
Staff View
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| 100 | 1 | |a Inmon, William H. |d 1945- |e Verfasser |0 (DE-588)113317662 |4 aut | |
| 245 | 1 | 0 | |a DW 2.0 |b the architecture for the next generation of data warehousing |c William H. Inmon ; Derek Strauss ; Genia Neushloss |
| 246 | 1 | 3 | |a Data warehousing 2.0 |
| 264 | 1 | |a Amsterdam [u.a.] |b Kaufmann |c 2008 | |
| 300 | |a XXI, 371 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a The Morgan Kaufmann series in data management systems | |
| 500 | |a Includes index. | ||
| 650 | 4 | |a Data warehousing | |
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| 700 | 1 | |a Neushloss, Genia |e Verfasser |0 (DE-588)142462837 |4 aut | |
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Record in the Search Index
| _version_ | 1821206700348145664 |
|---|---|
| adam_text |
Contents
Preface
.xvii
Acknowledgments
.xx
About the Authors
.xxi
CHAPTER
1
A brief history of data warehousing and first-generation
data warehouses
.
ι
Data base management systems
.1
Online applications
.2
Personal computers and 4GL technology
.3
The spider web environment
.4
Evolution from the business perspective
.5
The data warehouse environment
.
б
What is a data warehouse?
.7
Integrating data
—
a painful experience
.7
Volumes of data
.8
A different development approach
.8
Evolution to the DW
2.0
environment
.9
The business impart of the data warehouse
.11
Various components of the data warehouse environment
.11
ETL—extract/transform/load
.12
ODS
—
operational data store
.13
Data mart
.13
Exploration warehouse
.13
The evolution of data warehousing from the business perspective
.14
Other notions about a data warehouse
.14
The active data warehouse
.15
The federated data warehouse approach
.16
The star schema approach
.18
The data mart data warehouse
.20
Building a "real* data warehouse
.21
Summary
.22
CHAPTER
2
An
Introduction
to DW
2.0.23
DW
2.0—
a new paradigm
.24
DW
2.0—
from the business perspective
.24
The life cycle of data
.27
Reasons for the different sectors
.30
Metadata
.31
Accessor data
.33
Structured data/unstructured data
.34
vii
viii Contents
Textual
analytics
.35
Blather
.38
The issue of terminology
.38
Specific text/general text
.40
Metadata
—
a major component
.40
Local metadata
.43
A foundation of techno logy.
.45
Changing business requirements
.47
The flow of data within DW
2.0.48
Volumes of data
.50
Useful applications
.51
DW
2.0
and referential integrity
.52
Reporting in DW
2.0.53
Summary
.53
CHAPTER
3
DW
2.0
components—about the different sectors
.55
The Interactive Sector
.55
The Integrated Sector
.62
The Near Line Sector
.71
The Archival Sector
.76
Unstructured processing
.86
From the business perspective
.90
Summary
.92
CHAPTER
4
Metadata in DW
2.0.95
Reusability of data and analysis
.96
Metadata in DW
2.0.96
Active repository/passive repository
.,.99
The active repository
.100
Enterprise metadata
.101
Metadata and the system of record
.102
Taxonomy
.104
Internal taxonomies/external taxonomies
.104
Metadata in the Archival Sector
.105
Maintaining metadata
.106
Using metadata—an example
.106
From the end-user perspective
.109
Summary
.
HO
CHAPTER
5
Fluidity of the DW
2.0
technology infrastructure
.
ш
The technology infrastructure
.112
Rapid business changes
.
П4
Lomena
ιχ
The treadmill of change
.114
Getting off the treadmill
.115
Reducing the length of time for
ГГ
to respond
.115
Semantically temporal, semantically static data
.115
Semantically temporal data
.116
Semantically stable data
.117
Mixing semantically stable and unstable data
.118
Separating semantically stable and unstable data
.118
Mitigating business change
.119
Creating snapshots of data
.120
A historical record
.120
Dividing data
.121
From the end-user perspective
.121
Summary
.122
CHAPTER
6
Methodology and approach for DW
2.0.123
Spiral methodology
—
a summary of key features
.124
The seven streams approach
—
an overview
.129
Enterprise reference model stream
.129
Enterprise knowledge coordination stream
.129
Information factory development stream
.133
Data profiling and mapping stream
.133
Data correction stream
.133
Infrastructure stream
.133
Total information quality management stream
.134
Summary
.137
CHAPTER
7
Statistical processing and DW
2.0.141
Two types of transactions
.141
Using statistical analysis
.143
The integrity of the comparison
.144
Heuristic analysis
.145
Freezing data
.146
Exploration processing
.146
The frequency of analysis
.147
The exploration facility
.147
The sources for exploration processing
.149
Refreshing exploration data
.149
Project-based data
.150
Data marts and the exploration facility
.152
Abackflowofdata
.152
Using exploration data internally
.155
x
Contents
From the
perspective
of the business
analyst
.155
Summary
.156
CHAPTER
8
Data
models and DW
2.0.157
An intellectual road map
.157
The data model and business
.157
The scope of integration
.158
Making the distinction between granular and summarized data
.159
Levels of the data model
.159
Data models and the Interactive Sector
.161
The corporate data model
.162
A transformation of models
.163
Data models and unstructured data
.164
From the perspective of the business user
.166
Summary
.167
CHAPTER
9
Monitoring the DW
2.0
environment
.169
Monitoring the DW
2.0
environment
.169
The transaction monitor
.169
Monitoring data quality
.170
A data warehouse monitor
.171
The transaction monitor
—
response time
.171
Peak-period processing
.172
The ETL data quality monitor
.174
The data warehouse monitor
.176
Dormant data
.177
From the perspective of the business user
.178
Summary
.179
CHAPTER
10
DW
2.0
and security
.
isi
Protecting access to data
.181
Encryption
.181
Drawbacks
.182
The firewall
.182
Moving data offline
.182
Limiting encryption
.184
A direct dump
.184
The data warehouse monitor
.185
Sensing an attack
.185
Security for near line data
.187
From the perspective of the business user
.187
Summary
.188
Contents xi
CHAPTER
11
Time-variant data
.191
All data in DW
2.0—
relative to time
.191
Time relativity in the Interactive Sector
.192
Data relativity elsewhere in DW
2.0.192
Transactions in the Integrated Sector
.193
Discrete data
.194
Continuous time span data
.194
A sequence of records
.196
Nonoverlapping records
.197
Beginning and ending a sequence of records
.197
Continuity of data
.198
Time-collapsed data
.198
Time variance in the Archival Sector
.199
From the perspective of the end user
.200
Summary
.200
CHAPTER
12
The flow of data in DW
2.0.
2оз
The flow of data throughout the architecture
.203
Entering the Interactive Sector
.203
The role of ETL
.205
Data flow into the Integrated Sector
.205
Data flow into the Near Line Sector
.207
Data flow into the Archival Sector
.209
The falling probability of data access
.209
Exception-based flow of data
.210
From the perspective of the business user
.213
Summary
.214
CHAPTER
13
ETL processing and DW
2.0.215
Changing states of data
.215
Where ETL fits
.215
From application data to corporate data
.216
ETL in online mode
.216
ETL in batch mode
.217
Source and target
.218
An ETL mapping
.219
Changing states
—
an example
.219
More complex transformations
.221
ETL and throughput
.222
ETL and metadata
.223
ETL and an audit trail
.223
xii
Contents
EIL
and data quality
.224
Creating ETL
.224
Code creation or parametrically driven ETL
.225
ETL and rejects
.225
Changed data capture
.226
ELT.226
From the perspective of the business user
.227
Summary
.228
CHAPTER
14
DW
2.0
and the granularity manager
.231
The granularity manager
.231
Raising the level of granularity
.232
Filtering data
.232
The functions of the granularity manager
.234
Home-grown versus third-party granularity managers
.236
Parallelizing the granularity manager
.237
Metadata as a by-product
.237
From the perspective of the business user
.238
Summary
.238
CHAPTER
15
DW
2.0
and performance
.239
Good performance
—
a cornerstone for DW
2.0.239
Online response time
.240
Analytical response time
.241
The flow of data
.241
Queues
.242
Heuristic processing
.243
Analytical productivity and response time
.243
Many facets to performance
.244
Indexing
.245
Removing dormant data
.245
End-user education
.246
Monitoring the environment
.246
Capacity planning
.247
Metadata
.249
Batch parallelization
.249
Parallelization for transaction processing
.250
Workload management
.250
Data marts
.251
Exploration facilities
.253
Separation of transactions into classes
.253
Service level agreements
.254
Contents xiii
Protecting the Interactive Sector
.254
Partitioning data
.255
Choosing the proper hardware
.255
Separating farmers and explorers
.256
Physically group data together
.257
Check automatically generated code
.257
From the perspective of the business user
.258
Summary
.259
CHAPTER
16
Migration
.261
Houses and cities
.261
Migration in a perfect world
.262
The perfect world almost never happens
.262
Adding components incrementally
.262
Adding the Archival Sector
.264
Creating enterprise metadata
.265
Building the metadata infrastructure
.266
"Swallowing" source systems
.266
ETL as a shock absorber
.267
Migration to the unstructured environment
.267
From the perspective of the business user
.269
Summary
.270
CHAPTER
17
Cost justification and OW
2.0.271
Is DW
2.0
worth it?
.271
Macro-level justification
.271
A micro-level cost justification
.272
Company
В
has DW
2.0.273
Creating new analysis
.273
Executing the steps
.274
So how much does all of this cost?
.276
Consider company
В
.276
Factoring the cost of DW
2.0.277
Reality of information
.278
The real economics of DW
2.0.279
The time value
ofinformation
.279
The value of integration
.280
Historical information
.280
First-generation DW and DW
2.0—
the economics
.281
From the perspective of the business user
.282
Summary
.282
xiv
contents
CHAPTER« Data quality in DW
2.0.285
The DW
2.0
data quality tool set
.287
Data profiling tools and the reverse-engineered data model
.288
Data model types
.289
Data profiling inconsistencies challenge top-down modeling
.294
Summary
.296
CHAPTER
19
DW
2.0
and unstructured data
.299
DW
2.0
and unstructured data
.299
Reading text
.299
Where to do textual analytical processing
.300
Integrating text
.301
Simple editing
.302
Stop words
.302
Synonym replacement
.303
Synonym concatenation
.303
Homographie
resolution
.303
Creating themes
.304
External glossaries/taxonomies
.304
Stemming
.305
Alternate spellings
.305
Text across languages
.305
Direct searches
.306
Indirect searches
.306
Terminology
.307
Semistructured data/VALUE
=
NAME data
.307
The technology needed to prepare the data
.308
The relational data base
.309
Structured/unstructured linkage
.309
From the perspective of the business user
.310
Summary
.310
CHAPTER
20
DW
2.0
and the system of record
.
зі з
Other systems of record
.319
From the perspective of the business user
.319
Summary
.321
CHAPTER
21
Miscellaneous
topia
.
323
Data marts
.323
The convenience of a data mart
.324
Transforming data mart data
.325
[.omenu
χν
Monitoring DW 2.0.326
Moving data from one data mart to another
.327
Bad data
.329
A balancing entry
.330
Resetting a value
.330
Making corrections
.330
The speed of movement of data
.331
Data warehouse utilities
.332
Summary
.337
CHAPTER
22
Processing in the DW
2.0
environment
.
ззэ
Summary
.345
CHAPTER
23
Administering the DW
2.0
environment
.347
The data model
.347
Architectural administration
.348
Defining the moment when an Archival Sector will be needed
.348
Determining whether the Near Line Sector is needed
.349
Metadata administration
.351
Database administration
.352
Stewardship
.353
Systems and technology administration
.355
Management administration of the DW
2.0
environment
.358
Prioritization and prioritization conflicts
.358
Budget
.358
Scheduling and determination of milestones
.359
Allocation of resources
.359
Managing consultants
.359
Summary
.361
Index
.363 |
| adam_txt |
Contents
Preface
.xvii
Acknowledgments
.xx
About the Authors
.xxi
CHAPTER
1
A brief history of data warehousing and first-generation
data warehouses
.
ι
Data base management systems
.1
Online applications
.2
Personal computers and 4GL technology
.3
The spider web environment
.4
Evolution from the business perspective
.5
The data warehouse environment
.
б
What is a data warehouse?
.7
Integrating data
—
a painful experience
.7
Volumes of data
.8
A different development approach
.8
Evolution to the DW
2.0
environment
.9
The business impart of the data warehouse
.11
Various components of the data warehouse environment
.11
ETL—extract/transform/load
.12
ODS
—
operational data store
.13
Data mart
.13
Exploration warehouse
.13
The evolution of data warehousing from the business perspective
.14
Other notions about a data warehouse
.14
The active data warehouse
.15
The federated data warehouse approach
.16
The star schema approach
.18
The data mart data warehouse
.20
Building a "real* data warehouse
.21
Summary
.22
CHAPTER
2
An
Introduction
to DW
2.0.23
DW
2.0—
a new paradigm
.24
DW
2.0—
from the business perspective
.24
The life cycle of data
.27
Reasons for the different sectors
.30
Metadata
.31
Accessor data
.33
Structured data/unstructured data
.34
vii
viii Contents
Textual
analytics
.35
Blather
.38
The issue of terminology
.38
Specific text/general text
.40
Metadata
—
a major component
.40
Local metadata
.43
A foundation of techno logy.
.45
Changing business requirements
.47
The flow of data within DW
2.0.48
Volumes of data
.50
Useful applications
.51
DW
2.0
and referential integrity
.52
Reporting in DW
2.0.53
Summary
.53
CHAPTER
3
DW
2.0
components—about the different sectors
.55
The Interactive Sector
.55
The Integrated Sector
.62
The Near Line Sector
.71
The Archival Sector
.76
Unstructured processing
.86
From the business perspective
.90
Summary
.92
CHAPTER
4
Metadata in DW
2.0.95
Reusability of data and analysis
.96
Metadata in DW
2.0.96
Active repository/passive repository
.,.99
The active repository
.100
Enterprise metadata
.101
Metadata and the system of record
.102
Taxonomy
.104
Internal taxonomies/external taxonomies
.104
Metadata in the Archival Sector
.105
Maintaining metadata
.106
Using metadata—an example
.106
From the end-user perspective
.109
Summary
.
HO
CHAPTER
5
Fluidity of the DW
2.0
technology infrastructure
.
ш
The technology infrastructure
.112
Rapid business changes
.
П4
Lomena
ιχ
The treadmill of change
.114
Getting off the treadmill
.115
Reducing the length of time for
ГГ
to respond
.115
Semantically temporal, semantically static data
.115
Semantically temporal data
.116
Semantically stable data
.117
Mixing semantically stable and unstable data
.118
Separating semantically stable and unstable data
.118
Mitigating business change
.119
Creating snapshots of data
.120
A historical record
.120
Dividing data
.121
From the end-user perspective
.121
Summary
.122
CHAPTER
6
Methodology and approach for DW
2.0.123
Spiral methodology
—
a summary of key features
.124
The seven streams approach
—
an overview
.129
Enterprise reference model stream
.129
Enterprise knowledge coordination stream
.129
Information factory development stream
.133
Data profiling and mapping stream
.133
Data correction stream
.133
Infrastructure stream
.133
Total information quality management stream
.134
Summary
.137
CHAPTER
7
Statistical processing and DW
2.0.141
Two types of transactions
.141
Using statistical analysis
.143
The integrity of the comparison
.144
Heuristic analysis
.145
Freezing data
.146
Exploration processing
.146
The frequency of analysis
.147
The exploration facility
.147
The sources for exploration processing
.149
Refreshing exploration data
.149
Project-based data
.150
Data marts and the exploration facility
.152
Abackflowofdata
.152
Using exploration data internally
.155
x
Contents
From the
perspective
of the business
analyst
.155
Summary
.156
CHAPTER
8
Data
models and DW
2.0.157
An intellectual road map
.157
The data model and business
.157
The scope of integration
.158
Making the distinction between granular and summarized data
.159
Levels of the data model
.159
Data models and the Interactive Sector
.161
The corporate data model
.162
A transformation of models
.163
Data models and unstructured data
.164
From the perspective of the business user
.166
Summary
.167
CHAPTER
9
Monitoring the DW
2.0
environment
.169
Monitoring the DW
2.0
environment
.169
The transaction monitor
.169
Monitoring data quality
.170
A data warehouse monitor
.171
The transaction monitor
—
response time
.171
Peak-period processing
.172
The ETL data quality monitor
.174
The data warehouse monitor
.176
Dormant data
.177
From the perspective of the business user
.178
Summary
.179
CHAPTER
10
DW
2.0
and security
.
isi
Protecting access to data
.181
Encryption
.181
Drawbacks
.182
The firewall
.182
Moving data offline
.182
Limiting encryption
.184
A direct dump
.184
The data warehouse monitor
.185
Sensing an attack
.185
Security for near line data
.187
From the perspective of the business user
.187
Summary
.188
Contents xi
CHAPTER
11
Time-variant data
.191
All data in DW
2.0—
relative to time
.191
Time relativity in the Interactive Sector
.192
Data relativity elsewhere in DW
2.0.192
Transactions in the Integrated Sector
.193
Discrete data
.194
Continuous time span data
.194
A sequence of records
.196
Nonoverlapping records
.197
Beginning and ending a sequence of records
.197
Continuity of data
.198
Time-collapsed data
.198
Time variance in the Archival Sector
.199
From the perspective of the end user
.200
Summary
.200
CHAPTER
12
The flow of data in DW
2.0.
2оз
The flow of data throughout the architecture
.203
Entering the Interactive Sector
.203
The role of ETL
.205
Data flow into the Integrated Sector
.205
Data flow into the Near Line Sector
.207
Data flow into the Archival Sector
.209
The falling probability of data access
.209
Exception-based flow of data
.210
From the perspective of the business user
.213
Summary
.214
CHAPTER
13
ETL processing and DW
2.0.215
Changing states of data
.215
Where ETL fits
.215
From application data to corporate data
.216
ETL in online mode
.216
ETL in batch mode
.217
Source and target
.218
An ETL mapping
.219
Changing states
—
an example
.219
More complex transformations
.221
ETL and throughput
.222
ETL and metadata
.223
ETL and an audit trail
.223
xii
Contents
EIL
and data quality
.224
Creating ETL
.224
Code creation or parametrically driven ETL
.225
ETL and rejects
.225
Changed data capture
.226
ELT.226
From the perspective of the business user
.227
Summary
.228
CHAPTER
14
DW
2.0
and the granularity manager
.231
The granularity manager
.231
Raising the level of granularity
.232
Filtering data
.232
The functions of the granularity manager
.234
Home-grown versus third-party granularity managers
.236
Parallelizing the granularity manager
.237
Metadata as a by-product
.237
From the perspective of the business user
.238
Summary
.238
CHAPTER
15
DW
2.0
and performance
.239
Good performance
—
a cornerstone for DW
2.0.239
Online response time
.240
Analytical response time
.241
The flow of data
.241
Queues
.242
Heuristic processing
.243
Analytical productivity and response time
.243
Many facets to performance
.244
Indexing
.245
Removing dormant data
.245
End-user education
.246
Monitoring the environment
.246
Capacity planning
.247
Metadata
.249
Batch parallelization
.249
Parallelization for transaction processing
.250
Workload management
.250
Data marts
.251
Exploration facilities
.253
Separation of transactions into classes
.253
Service level agreements
.254
Contents xiii
Protecting the Interactive Sector
.254
Partitioning data
.255
Choosing the proper hardware
.255
Separating farmers and explorers
.256
Physically group data together
.257
Check automatically generated code
.257
From the perspective of the business user
.258
Summary
.259
CHAPTER
16
Migration
.261
Houses and cities
.261
Migration in a perfect world
.262
The perfect world almost never happens
.262
Adding components incrementally
.262
Adding the Archival Sector
.264
Creating enterprise metadata
.265
Building the metadata infrastructure
.266
"Swallowing" source systems
.266
ETL as a shock absorber
.267
Migration to the unstructured environment
.267
From the perspective of the business user
.269
Summary
.270
CHAPTER
17
Cost justification and OW
2.0.271
Is DW
2.0
worth it?
.271
Macro-level justification
.271
A micro-level cost justification
.272
Company
В
has DW
2.0.273
Creating new analysis
.273
Executing the steps
.274
So how much does all of this cost?
.276
Consider company
В
.276
Factoring the cost of DW
2.0.277
Reality of information
.278
The real economics of DW
2.0.279
The time value
ofinformation
.279
The value of integration
.280
Historical information
.280
First-generation DW and DW
2.0—
the economics
.281
From the perspective of the business user
.282
Summary
.282
xiv
contents
CHAPTER« Data quality in DW
2.0.285
The DW
2.0
data quality tool set
.287
Data profiling tools and the reverse-engineered data model
.288
Data model types
.289
Data profiling inconsistencies challenge top-down modeling
.294
Summary
.296
CHAPTER
19
DW
2.0
and unstructured data
.299
DW
2.0
and unstructured data
.299
Reading text
.299
Where to do textual analytical processing
.300
Integrating text
.301
Simple editing
.302
Stop words
.302
Synonym replacement
.303
Synonym concatenation
.303
Homographie
resolution
.303
Creating themes
.304
External glossaries/taxonomies
.304
Stemming
.305
Alternate spellings
.305
Text across languages
.305
Direct searches
.306
Indirect searches
.306
Terminology
.307
Semistructured data/VALUE
=
NAME data
.307
The technology needed to prepare the data
.308
The relational data base
.309
Structured/unstructured linkage
.309
From the perspective of the business user
.310
Summary
.310
CHAPTER
20
DW
2.0
and the system of record
.
зі з
Other systems of record
.319
From the perspective of the business user
.319
Summary
.321
CHAPTER
21
Miscellaneous
topia
.
323
Data marts
.323
The convenience of a data mart
.324
Transforming data mart data
.325
[.omenu
χν
Monitoring DW 2.0.326
Moving data from one data mart to another
.327
Bad data
.329
A balancing entry
.330
Resetting a value
.330
Making corrections
.330
The speed of movement of data
.331
Data warehouse utilities
.332
Summary
.337
CHAPTER
22
Processing in the DW
2.0
environment
.
ззэ
Summary
.345
CHAPTER
23
Administering the DW
2.0
environment
.347
The data model
.347
Architectural administration
.348
Defining the moment when an Archival Sector will be needed
.348
Determining whether the Near Line Sector is needed
.349
Metadata administration
.351
Database administration
.352
Stewardship
.353
Systems and technology administration
.355
Management administration of the DW
2.0
environment
.358
Prioritization and prioritization conflicts
.358
Budget
.358
Scheduling and determination of milestones
.359
Allocation of resources
.359
Managing consultants
.359
Summary
.361
Index
.363 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Inmon, William H. 1945- Strauss, Derek Neushloss, Genia |
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| author_role | aut aut aut |
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| callnumber-label | QA76 |
| callnumber-raw | QA76.9.D37 |
| callnumber-search | QA76.9.D37 |
| callnumber-sort | QA 276.9 D37 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | ST 530 |
| classification_tum | DAT 620f |
| ctrlnum | (OCoLC)612057968 (DE-599)BVBBV023415735 |
| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 |
| dewey-search | 005.74 |
| dewey-sort | 15.74 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV023415735 |
| illustrated | Illustrated |
| index_date | 2024-07-02T21:29:17Z |
| indexdate | 2025-01-14T07:00:54Z |
| institution | BVB |
| isbn | 9780123743190 |
| language | English |
| lccn | 2008011044 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016598265 |
| oclc_num | 612057968 |
| open_access_boolean | |
| owner | DE-92 DE-473 DE-BY-UBG DE-91G DE-BY-TUM DE-355 DE-BY-UBR DE-523 DE-384 |
| owner_facet | DE-92 DE-473 DE-BY-UBG DE-91G DE-BY-TUM DE-355 DE-BY-UBR DE-523 DE-384 |
| physical | XXI, 371 S. Ill., graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | Kaufmann |
| record_format | marc |
| series2 | The Morgan Kaufmann series in data management systems |
| spelling | Inmon, William H. 1945- Verfasser (DE-588)113317662 aut DW 2.0 the architecture for the next generation of data warehousing William H. Inmon ; Derek Strauss ; Genia Neushloss Data warehousing 2.0 Amsterdam [u.a.] Kaufmann 2008 XXI, 371 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier The Morgan Kaufmann series in data management systems Includes index. Data warehousing Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 s DE-604 Strauss, Derek Verfasser (DE-588)142462748 aut Neushloss, Genia Verfasser (DE-588)142462837 aut Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016598265&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Inmon, William H. 1945- Strauss, Derek Neushloss, Genia DW 2.0 the architecture for the next generation of data warehousing Data warehousing Data-Warehouse-Konzept (DE-588)4406462-7 gnd |
| subject_GND | (DE-588)4406462-7 |
| title | DW 2.0 the architecture for the next generation of data warehousing |
| title_alt | Data warehousing 2.0 |
| title_auth | DW 2.0 the architecture for the next generation of data warehousing |
| title_exact_search | DW 2.0 the architecture for the next generation of data warehousing |
| title_exact_search_txtP | DW 2.0 the architecture for the next generation of data warehousing |
| title_full | DW 2.0 the architecture for the next generation of data warehousing William H. Inmon ; Derek Strauss ; Genia Neushloss |
| title_fullStr | DW 2.0 the architecture for the next generation of data warehousing William H. Inmon ; Derek Strauss ; Genia Neushloss |
| title_full_unstemmed | DW 2.0 the architecture for the next generation of data warehousing William H. Inmon ; Derek Strauss ; Genia Neushloss |
| title_short | DW 2.0 |
| title_sort | dw 2 0 the architecture for the next generation of data warehousing |
| title_sub | the architecture for the next generation of data warehousing |
| topic | Data warehousing Data-Warehouse-Konzept (DE-588)4406462-7 gnd |
| topic_facet | Data warehousing Data-Warehouse-Konzept |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016598265&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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