國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁 到查詢結果 [ subject:"Object-oriented databases." ]

切換: 標籤 | MARC模式 | ISBD

Cosmos DB for MongoDB developersmigr...

Sharma, Manish.

Cosmos DB for MongoDB developersmigrating to Azure Cosmos DB and using the MongoDB API /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cosmos DB for MongoDB developersby Manish Sharma.
其他題名:	migrating to Azure Cosmos DB and using the MongoDB API /
作者:	Sharma, Manish.
出版者:	Berkeley, CA :Apress :2018.
面頁冊數:	xviii, 209 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Object-oriented databases.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3682-6
ISBN:	9781484236826$q(electronic bk.)

Cosmos DB for MongoDB developersmigrating to Azure Cosmos DB and using the MongoDB API /
Sharma, Manish.

Cosmos DB for MongoDB developersmigrating to Azure Cosmos DB and using the MongoDB API /[electronic resource] :by Manish Sharma. - Berkeley, CA :Apress :2018. - xviii, 209 p. :ill., digital ;24 cm.

Learn Azure Cosmos DB and its MongoDB API with hands-on samples and advanced features such as the multi-homing API, geo-replication, custom indexing, TTL, request units (RU), consistency levels, partitioning, and much more. Each chapter explains Azure Cosmos DB's features and functionalities by comparing it to MongoDB with coding samples. Cosmos DB for MongoDB Developers starts with an overview of NoSQL and Azure Cosmos DB and moves on to demonstrate the difference between geo-replication of Azure Cosmos DB compared to MongoDB. Along the way you'll cover subjects including indexing, partitioning, consistency, and sizing, all of which will help you understand the concepts of read units and how this calculation is derived from an existing MongoDB's usage. The next part of the book shows you the process and strategies for migrating to Azure Cosmos DB. You will learn the day-to-day scenarios of using Azure Cosmos DB, its sizing strategies, and optimizing techniques for the MongoDB API. This information will help you when planning to migrate from MongoDB or if you would like to compare MongoDB to the Azure Cosmos DB MongoDB API before considering the switch. You will: Migrate to MongoDB and understand its strategies Develop a sample application using MongoDB's client driver Make use of sizing best practices and performance optimization scenarios Optimize MongoDB's partition mechanism and indexing.

ISBN: 9781484236826$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3682-6doiSubjects--Uniform Titles:

MongoDB.
Subjects--Topical Terms:

200131
Object-oriented databases.

LC Class. No.: QA76.9.D3 / S537 2018

Dewey Class. No.: 005.75

Cosmos DB for MongoDB developersmigrating to Azure Cosmos DB and using the MongoDB API /
LDR:02337nmm a2200277 a 4500 001 544103
003 DE-He213
005 20190306095345.0
006 m d
007 cr nn 008maaau
008 190430s2018 cau s 0 eng d
020 $a 9781484236826$q(electronic bk.)
020 $a 9781484236819$q(paper)
024 7 $a 10.1007/978-1-4842-3682-6 $2 doi
035 $a 978-1-4842-3682-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D3 $b S537 2018
082 0 4 $a 005.75 $2 23
090 $a QA76.9.D3 $b S531 2018
100 1 $a Sharma, Manish. $3 822605
245 1 0 $a Cosmos DB for MongoDB developers $h [electronic resource] : $b migrating to Azure Cosmos DB and using the MongoDB API / $c by Manish Sharma.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a xviii, 209 p. : $b ill., digital ; $c 24 cm.
520 $a Learn Azure Cosmos DB and its MongoDB API with hands-on samples and advanced features such as the multi-homing API, geo-replication, custom indexing, TTL, request units (RU), consistency levels, partitioning, and much more. Each chapter explains Azure Cosmos DB's features and functionalities by comparing it to MongoDB with coding samples. Cosmos DB for MongoDB Developers starts with an overview of NoSQL and Azure Cosmos DB and moves on to demonstrate the difference between geo-replication of Azure Cosmos DB compared to MongoDB. Along the way you'll cover subjects including indexing, partitioning, consistency, and sizing, all of which will help you understand the concepts of read units and how this calculation is derived from an existing MongoDB's usage. The next part of the book shows you the process and strategies for migrating to Azure Cosmos DB. You will learn the day-to-day scenarios of using Azure Cosmos DB, its sizing strategies, and optimizing techniques for the MongoDB API. This information will help you when planning to migrate from MongoDB or if you would like to compare MongoDB to the Azure Cosmos DB MongoDB API before considering the switch. You will: Migrate to MongoDB and understand its strategies Develop a sample application using MongoDB's client driver Make use of sizing best practices and performance optimization scenarios Optimize MongoDB's partition mechanism and indexing.
630 0 0 $a MongoDB. $3 497884
650 0 $a Object-oriented databases. $3 200131
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Microsoft and .NET. $3 760507
650 2 4 $a Database Management. $3 273994
650 2 4 $a Computer Applications. $3 273760
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3682-6
950 $a Professional and Applied Computing (Springer-12059)