國立虎尾科技大學 |

Cosmos DB for MongoDB Developers = Migrating to Azure Cosmos DB and Using the MongoDB API /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cosmos DB for MongoDB Developers/ by Manish Sharma.
其他題名:	Migrating to Azure Cosmos DB and Using the MongoDB API /
作者:	Sharma, Manish.
面頁冊數:	XVIII, 209 p. 118 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Microsoft software. -
電子資源:	https://doi.org/10.1007/978-1-4842-3682-6
ISBN:	9781484236826

Cosmos DB for MongoDB Developers = Migrating 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. - 1st ed. 2018. - XVIII, 209 p. 118 illus.online resource.

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

Standard No.: 10.1007/978-1-4842-3682-6doiSubjects--Topical Terms:

1253736
Microsoft software.

LC Class. No.: QA76.76.M52

Dewey Class. No.: 004.165

Cosmos DB for MongoDB Developers = Migrating to Azure Cosmos DB and Using the MongoDB API /
LDR:02786nam a22003855i 4500 001 987949
003 DE-He213
005 20200705214412.0
007 cr nn 008mamaa
008 201225s2018 xxu| s |||| 0|eng d
020 $a 9781484236826 $9 978-1-4842-3682-6
024 7 $a 10.1007/978-1-4842-3682-6 $2 doi
035 $a 978-1-4842-3682-6
050 4 $a QA76.76.M52
072 7 $a UMP $2 bicssc
072 7 $a COM051380 $2 bisacsh
072 7 $a UMP $2 thema
082 0 4 $a 004.165 $2 23
100 1 $a Sharma, Manish. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1208910
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.
250 $a 1st ed. 2018.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a XVIII, 209 p. 118 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
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.
650 0 $a Microsoft software. $3 1253736
650 0 $a Microsoft .NET Framework. $3 565417
650 0 $a Database management. $3 557799
650 0 $a Application software. $3 528147
650 1 4 $a Microsoft and .NET. $3 1114109
650 2 4 $a Database Management. $3 669820
650 2 4 $a Computer Applications. $3 669785
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484236819
776 0 8 $i Printed edition: $z 9781484236833
776 0 8 $i Printed edition: $z 9781484247938
856 4 0 $u https://doi.org/10.1007/978-1-4842-3682-6
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)