SQL & NoSQL databases: models, languages, consistency options and architectures for big data management
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English German |
Veröffentlicht: |
Wiesbaden
Springer Vieweg
[2019]
|
Schlagworte: | |
Online-Zugang: | Inhaltstext http://www.springer.com/ Inhaltsverzeichnis |
Beschreibung: | Aus dem Vorwort: "... the eighth edition of the German textbook to English ..." |
Beschreibung: | xvi, 228 Seiten Illustrationen, Diagramme (farbig) 24 cm x 16.8 cm |
ISBN: | 9783658245481 3658245484 |
Internformat
MARC
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264 | 4 | |c © 2019 | |
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653 | |a UN | ||
653 | |a Andreas Meier | ||
653 | |a Big Data | ||
653 | |a Data modeling | ||
653 | |a Database reference | ||
653 | |a Michael Kaufmann | ||
653 | |a NoSQL Database | ||
653 | |a SQL Database | ||
653 | |a SQL Database architecture | ||
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653 | |a SQL and noSQL Database | ||
653 | |a SQL database design | ||
653 | |a noSQL Database book | ||
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Datensatz im Suchindex
_version_ | 1804180365197180928 |
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adam_text | CONTENTS
1
DATA
MANAGEMENT
........................................................................................................
1
1.1
INFORMATION
SYSTEMS
AND
DATABASES
.............................................................
1
1.2
SQL
DATABASES
.................................................................................................
3
1.2.1
RELATIONAL
MODEL
................................................................................
3
1.2.2
STRUCTURED
QUERY
LANGUAGE
(SQL)
...................................................
6
1.2.3
RELATIONAL
DATABASE
MANAGEMENT
SYSTEM
.......................................
8
1.3
BIG
DATA
............................................................................................................
10
1.4
NOSQL
DATABASES
...........................................................................................
12
1.4.1
GRAPH-BASED
MODEL
............................................................................
12
1.4.2
GRAPH
QUERY
LANGUAGE
CYPHER
.........................................................
14
1.4.3
NOSQL
DATABASE
MANAGEMENT
SYSTEM
............................................
16
1.5
ORGANIZATION
OF
DATA
MANAGEMENT
...............................................................
18
1.6
FURTHER
READING
..............................................................................................
21
REFERENCES
..................................................................................................................
22
2
DATA
MODELING
..............................................................................................................
25
2.1
FROM
DATA
ANALYSIS
TO
DATABASE
....................................................................
25
2.2
THE
ENTITY-RELATIONSHIP
MODEL
......................................................................
28
2.2.1
ENTITIES
AND
RELATIONSHIPS
.................................................................
28
2.2.2
ASSOCIATION
TYPES
..............................................................................
29
2.2.3
GENERALIZATION
AND
AGGREGATION
.........................................................
32
2.3
IMPLEMENTATION
IN
THE
RELATIONAL
MODEL
.......................................................
35
2.3.1
DEPENDENCIES
AND
NORMAL
FORMS
.....................................................
35
2.3.2
MAPPING
RULES
FOR
RELATIONAL
DATABASES
..........................................
46
2.3.3
STRUCTURAL
INTEGRITY
CONSTRAINTS
.........................................................
54
2.4
IMPLEMENTATION
IN
THE
GRAPH
MODEL
.............................................................
57
2.4.1
GRAPH
PROPERTIES
................................................................................
57
2.4.2
MAPPING
RULES
FOR
GRAPH
DATABASES
................................................
68
2.4.3
STRUCTURAL
INTEGRITY
CONSTRAINTS
.........................................................
75
2.5
ENTERPRISE-WIDE
DATA
ARCHITECTURE
...............................................................
76
IX
X
CONTENTS
2.6
FORMULA
FOR
DATABASE
DESIGN
........................................................................
79
2.7
FURTHER
READING
...............................................................................................
81
REFERENCES
...................................................................................................................
82
3
DATABASE
LANGUAGES
....................................................................................................
85
3.1
INTERACTING
WITH
DATABASES
...............................................................................
85
3.2
RELATIONAL
ALGEBRA
...........................................................................................
87
3.2.1
OVERVIEW
OF
OPERATORS
........................................................................
87
3.2.2
SET
OPERATORS
.......................................................................................
89
3.2.3
RELATIONAL
OPERATORS
..........................................................................
91
3.3
RELATIONALLY
COMPLETE
LANGUAGES
..................................................................
95
3.3.1
SQL
......................................................................................................
96
3.3.2
QBE
......................................................................................................
99
3.4
GRAPH-BASED
LANGUAGES
...................................................................................
101
3.4.1
CYPHER
.................................................................................................
103
3.5
EMBEDDED
LANGUAGES
.....................................................................................
107
3.5.1
CURSOR
CONCEPT
...................................................................................
108
3.5.2
STORED
PROCEDURES
AND
STORED
FUNCTIONS
..........................................
108
3.5.3
JDBC
............................................................................
109
3.5.4
EMBEDDING
GRAPH-BASED
LANGUAGES
.................................................
110
3.6
HANDLING
NULL
VALUES
...................................................................................
ILL
3.7
INTEGRITY
CONSTRAINTS
.........................................................................................
113
3.8
DATA
PROTECTION
ISSUES
.....................................................................................
116
3.9
FURTHER
READING
...............................................................................................
120
REFERENCES
..................................................................................................................
121
4
ENSURING
DATA
CONSISTENCY
......................................................................................
123
4.1
MULTI-USER
OPERATION
.......................................................................................
123
4.2
TRANSACTION
CONCEPT
.......................................................................................
124
4.2.1
ACID
....................................................................................................
124
4.2.2
SERIALIZABILITY
.......................................................................................
125
4.2.3
PESSIMISTIC
METHODS
............................................................................
128
4.2.4
OPTIMISTIC
METHODS
............................................................................
131
4.2.5
TROUBLESHOOTING
...................................................................................
133
4.3
CONSISTENCY
IN
MASSIVE
DISTRIBUTED
DATA
.....................................................
134
4.3.1
BASE
AND
THE
CAP
THEOREM
.............................................................
134
4.3.2
NUANCED
CONSISTENCY
SETTINGS
...........................................................
136
4.3.3
VECTOR
CLOCKS
FOR
THE
SERIALIZATION
OF
DISTRIBUTED
EVENTS
...............
137
4.4
COMPARING
ACID
AND
BASE
..........................................................................
139
4.5
FURTHER
READING
...............................................................................................
141
REFERENCES
..................................................................................................................
141
CONTENTS
XI
5
SYSTEM
ARCHITECTURE
...................................................................................................
143
5.1
PROCESSING
OF
HOMOGENEOUS
AND
HETEROGENEOUS
DATA
................................
143
5.2
STORAGE
AND
ACCESS
STRUCTURES
........................................................................
146
5.2.1
INDEXES
AND
TREE
STRUCTURES
................................................................
146
5.2.2
HASHING
METHODS
................................................................................
149
5.2.3
CONSISTENT
HASHING
............................................................................
150
5.2.4
MULTIDIMENSIONAL
DATA
STRUCTURES
.....................................................
152
5.3
TRANSLATION
AND
OPTIMIZATION
OF
RELATIONAL
QUERIES
....................................
155
5.3.1
CREATION
OF
QUERY
TREES
......................................................................
155
5.3.2
OPTIMIZATION
BY
ALGEBRAIC
TRANSFORMATION
......................................
156
5.3.3
CALCULATION
OF
JOIN
OPERATORS
...........................................................
158
5.4
PARALLEL
PROCESSING
WITH
MAPREDUCE
.............................................................
161
5.5
LAYERED
ARCHITECTURE
......................................................................................
162
5.6
USE
OF
DIFFERENT
STORAGE
STRUCTURES
...............................................................
164
5.7
FURTHER
READING
...............................................................................................
166
REFERENCES
..................................................................................................................
167
6
POSTRELATIONAL
DATABASES
.............................................................................................
169
6.1
THE
LIMITS
OF
SQL
*
AND
BEYOND
.................................................................
169
6.2
FEDERATED
DATABASES
.........................................................................................
170
6.3
TEMPORAL
DATABASES
.........................................................................................
173
6.4
MULTIDIMENSIONAL
DATABASES
..........................................................................
176
6.5
DATAWAREHOUSE
...............................................................................................
180
6.6
OBJECT-RELATIONAL
DATABASES
..........................................................................
183
6.7
KNOWLEDGE
DATABASES
....................................................................................
187
6.8
FUZZY
DATABASES
...............................................................................................
190
6.9
FURTHER
READING
...............................................................................................
195
REFERENCES
..................................................................................................................
197
7
NOSQL
DATABASES
........................................................................................................
201
7.1
DEVELOPMENT
OF
NONRELATIONAL
TECHNOLOGIES
.................................................
201
7.2 KEY-VALUE
STORES
.............................................................................................
202
7.3
COLUMN-FAMILY
STORES
....................................................................................
205
7.4
DOCUMENT
STORES
.............................................................................................
207
7.5
XML
DATABASES
...............................................................................................
210
7.6
GRAPH
DATABASES
.............................................................................................
215
7.7
FURTHER
READING
...............................................................................................
217
REFERENCES
..................................................................................................................
218
GLOSSARY
................................................................................................................................
219
REFERENCES
...........................................................................................................................
223
INDEX
225
|
any_adam_object | 1 |
author | Meier, Andreas 1951- Kaufmann, Michael 1978- |
author_GND | (DE-588)115753613 (DE-588)1031315705 |
author_facet | Meier, Andreas 1951- Kaufmann, Michael 1978- |
author_role | aut aut |
author_sort | Meier, Andreas 1951- |
author_variant | a m am m k mk |
building | Verbundindex |
bvnumber | BV046078597 |
classification_rvk | ST 270 |
ctrlnum | (OCoLC)1111900391 (DE-599)DNB1169851622 |
discipline | Informatik |
format | Book |
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genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
genre_facet | Lehrbuch |
id | DE-604.BV046078597 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:34:36Z |
institution | BVB |
institution_GND | (DE-588)1043386068 |
isbn | 9783658245481 3658245484 |
language | English German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031459741 |
oclc_num | 1111900391 |
open_access_boolean | |
owner | DE-1050 DE-11 DE-19 DE-BY-UBM |
owner_facet | DE-1050 DE-11 DE-19 DE-BY-UBM |
physical | xvi, 228 Seiten Illustrationen, Diagramme (farbig) 24 cm x 16.8 cm |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Springer Vieweg |
record_format | marc |
spelling | Meier, Andreas 1951- Verfasser (DE-588)115753613 aut SQL- & NoSQL-Datenbanken SQL & NoSQL databases models, languages, consistency options and architectures for big data management Andreas Meier, Michael Kaufmann Wiesbaden Springer Vieweg [2019] © 2019 xvi, 228 Seiten Illustrationen, Diagramme (farbig) 24 cm x 16.8 cm txt rdacontent n rdamedia nc rdacarrier Aus dem Vorwort: "... the eighth edition of the German textbook to English ..." SQL (DE-588)4134010-3 gnd rswk-swf NoSQL-Datenbanksystem (DE-588)7722784-0 gnd rswk-swf Datenbank (DE-588)4011119-2 gnd rswk-swf Relationales Datenbanksystem (DE-588)4130535-8 gnd rswk-swf UN Andreas Meier Big Data Data modeling Database reference Michael Kaufmann NoSQL Database SQL Database SQL Database architecture SQL Database book SQL and noSQL Database SQL database design noSQL Database book post-relational databases UNF KJQ URD 1\p (DE-588)4123623-3 Lehrbuch gnd-content Relationales Datenbanksystem (DE-588)4130535-8 s NoSQL-Datenbanksystem (DE-588)7722784-0 s DE-604 SQL (DE-588)4134010-3 s 2\p DE-604 Datenbank (DE-588)4011119-2 s 3\p DE-604 Kaufmann, Michael 1978- Verfasser (DE-588)1031315705 aut Springer Fachmedien Wiesbaden (DE-588)1043386068 pbl Erscheint auch als Online-Ausgabe 978-3-658-24549-8 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=9b1538df33ca45cfbe6574ab32cea897&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031459741&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Meier, Andreas 1951- Kaufmann, Michael 1978- SQL & NoSQL databases models, languages, consistency options and architectures for big data management SQL (DE-588)4134010-3 gnd NoSQL-Datenbanksystem (DE-588)7722784-0 gnd Datenbank (DE-588)4011119-2 gnd Relationales Datenbanksystem (DE-588)4130535-8 gnd |
subject_GND | (DE-588)4134010-3 (DE-588)7722784-0 (DE-588)4011119-2 (DE-588)4130535-8 (DE-588)4123623-3 |
title | SQL & NoSQL databases models, languages, consistency options and architectures for big data management |
title_alt | SQL- & NoSQL-Datenbanken |
title_auth | SQL & NoSQL databases models, languages, consistency options and architectures for big data management |
title_exact_search | SQL & NoSQL databases models, languages, consistency options and architectures for big data management |
title_full | SQL & NoSQL databases models, languages, consistency options and architectures for big data management Andreas Meier, Michael Kaufmann |
title_fullStr | SQL & NoSQL databases models, languages, consistency options and architectures for big data management Andreas Meier, Michael Kaufmann |
title_full_unstemmed | SQL & NoSQL databases models, languages, consistency options and architectures for big data management Andreas Meier, Michael Kaufmann |
title_short | SQL & NoSQL databases |
title_sort | sql nosql databases models languages consistency options and architectures for big data management |
title_sub | models, languages, consistency options and architectures for big data management |
topic | SQL (DE-588)4134010-3 gnd NoSQL-Datenbanksystem (DE-588)7722784-0 gnd Datenbank (DE-588)4011119-2 gnd Relationales Datenbanksystem (DE-588)4130535-8 gnd |
topic_facet | SQL NoSQL-Datenbanksystem Datenbank Relationales Datenbanksystem Lehrbuch |
url | http://deposit.dnb.de/cgi-bin/dokserv?id=9b1538df33ca45cfbe6574ab32cea897&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031459741&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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