Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Introducing RavenDB = The Database for Modern Data Persistence /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Introducing RavenDB/ by Dejan Miličić.
Reminder of title:
The Database for Modern Data Persistence /
Author:
Miličić, Dejan.
Description:
XVIII, 197 p. 99 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Database management. -
Online resource:
https://doi.org/10.1007/978-1-4842-8919-8
ISBN:
9781484289198
Introducing RavenDB = The Database for Modern Data Persistence /
Miličić, Dejan.
Introducing RavenDB
The Database for Modern Data Persistence /[electronic resource] :by Dejan Miličić. - 1st ed. 2022. - XVIII, 197 p. 99 illus.online resource.
1. Getting Started with RavenDB -- 2. Document Modeling -- 3. Querying -- 4. Indexes -- 5. Map Indexes -- 6. MapReduce Indexes -- 7. Full-Text Search.
Simplify your first steps with the RavenDB NoSQL Document Database. This book takes a task-oriented approach by showing common problems, potential solutions, brief explanations of how those solutions work, and the mechanisms used. Based on real-world examples, the recipes in this book will show you how to solve common problems with Raven Query Language and will highlight reasons why RavenDB is a great choice for fast prototyping solutions that can sustain increasing amounts of data as your application grows. Introducing RavenDB includes code and query examples that address real-life challenges you’ll encounter when using RavenDB, helping you learn the basics of the Raven Query Language more quickly and efficiently. In many cases, you’ll be able to copy and paste the examples into your own code, making only minor modifications to suit your application. RavenDB supports many advanced features, such full-text search, graph queries, and timeseries; recipes in the latter portion of the book will help you understand those advanced features and how they might be applied to your own code and applications. After reading this book, you will be able to employ RavenDB’s powerful features in your own projects. You will: Set up and start working with RavenDB Model your objects for persistence in a NoSQL document database Write basic and advanced queries in the Raven Query Language Index your data using map/reduce techniques Implement techniques leading to highly performant systems Efficiently aggregate data and query on those aggregations .
ISBN: 9781484289198
Standard No.: 10.1007/978-1-4842-8919-8doiSubjects--Topical Terms:
557799
Database management.
LC Class. No.: QA76.9.D3
Dewey Class. No.: 005.74
Introducing RavenDB = The Database for Modern Data Persistence /
LDR
:03007nam a22003855i 4500
001
1085312
003
DE-He213
005
20221109134722.0
007
cr nn 008mamaa
008
221228s2022 xxu| s |||| 0|eng d
020
$a
9781484289198
$9
978-1-4842-8919-8
024
7
$a
10.1007/978-1-4842-8919-8
$2
doi
035
$a
978-1-4842-8919-8
050
4
$a
QA76.9.D3
072
7
$a
UN
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
072
7
$a
UN
$2
thema
082
0 4
$a
005.74
$2
23
100
1
$a
Miličić, Dejan.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1391752
245
1 0
$a
Introducing RavenDB
$h
[electronic resource] :
$b
The Database for Modern Data Persistence /
$c
by Dejan Miličić.
250
$a
1st ed. 2022.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2022.
300
$a
XVIII, 197 p. 99 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
1. Getting Started with RavenDB -- 2. Document Modeling -- 3. Querying -- 4. Indexes -- 5. Map Indexes -- 6. MapReduce Indexes -- 7. Full-Text Search.
520
$a
Simplify your first steps with the RavenDB NoSQL Document Database. This book takes a task-oriented approach by showing common problems, potential solutions, brief explanations of how those solutions work, and the mechanisms used. Based on real-world examples, the recipes in this book will show you how to solve common problems with Raven Query Language and will highlight reasons why RavenDB is a great choice for fast prototyping solutions that can sustain increasing amounts of data as your application grows. Introducing RavenDB includes code and query examples that address real-life challenges you’ll encounter when using RavenDB, helping you learn the basics of the Raven Query Language more quickly and efficiently. In many cases, you’ll be able to copy and paste the examples into your own code, making only minor modifications to suit your application. RavenDB supports many advanced features, such full-text search, graph queries, and timeseries; recipes in the latter portion of the book will help you understand those advanced features and how they might be applied to your own code and applications. After reading this book, you will be able to employ RavenDB’s powerful features in your own projects. You will: Set up and start working with RavenDB Model your objects for persistence in a NoSQL document database Write basic and advanced queries in the Raven Query Language Index your data using map/reduce techniques Implement techniques leading to highly performant systems Efficiently aggregate data and query on those aggregations .
650
0
$a
Database management.
$3
557799
650
0
$a
Java (Computer program language).
$3
686374
650
1 4
$a
Database Management.
$3
669820
650
2 4
$a
Java.
$3
1115949
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484289181
776
0 8
$i
Printed edition:
$z
9781484289204
856
4 0
$u
https://doi.org/10.1007/978-1-4842-8919-8
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login