Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/741
Title: Cosmos DB for MongoDB Developers
Other Titles: Migrating to Azure Cosmos DB and Using the MongoDB API /
Authors: Sharma, Manish. ;
subject: Microsoft software. ;;Microsoft .NET Framework. ;;Database Management;Computer Science;Microsoft and .NET. ; http://scigraph.springernature.com/things/product-market-codes/I29030. ;;Database Management. ; http://scigraph.springernature.com/things/product-market-codes/I18024. ;;Computer Applications. ; http://scigraph.springernature.com/things/product-market-codes/I23001. ;;004.165 ; 23 ;;QA76.76.M52 ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: 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 DBees 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 youeell 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 MongoDBees 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 MongoDBees client driver Make use of sizing best practices and performance optimization scenarios Optimize MongoDBees partition mechanism and indexing. ;
Description: 
SpringerLink (Online service) ;



Printed edition: ; 9781484236819. ;


Printed edition: ; 9781484236833. ;
URI: http://localhost/handle/Hannan/741
ISBN: 9781484236826 ;
9781484236819 (print) ;
9781484236833 (print) ;
More Information: XVIII, 209 p. 118 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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9781484236819.pdf7.04 MBAdobe PDFThumbnail
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Title: Cosmos DB for MongoDB Developers
Other Titles: Migrating to Azure Cosmos DB and Using the MongoDB API /
Authors: Sharma, Manish. ;
subject: Microsoft software. ;;Microsoft .NET Framework. ;;Database Management;Computer Science;Microsoft and .NET. ; http://scigraph.springernature.com/things/product-market-codes/I29030. ;;Database Management. ; http://scigraph.springernature.com/things/product-market-codes/I18024. ;;Computer Applications. ; http://scigraph.springernature.com/things/product-market-codes/I23001. ;;004.165 ; 23 ;;QA76.76.M52 ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: 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 DBees 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 youeell 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 MongoDBees 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 MongoDBees client driver Make use of sizing best practices and performance optimization scenarios Optimize MongoDBees partition mechanism and indexing. ;
Description: 
SpringerLink (Online service) ;



Printed edition: ; 9781484236819. ;


Printed edition: ; 9781484236833. ;
URI: http://localhost/handle/Hannan/741
ISBN: 9781484236826 ;
9781484236819 (print) ;
9781484236833 (print) ;
More Information: XVIII, 209 p. 118 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484236819.pdf7.04 MBAdobe PDFThumbnail
Preview File
Title: Cosmos DB for MongoDB Developers
Other Titles: Migrating to Azure Cosmos DB and Using the MongoDB API /
Authors: Sharma, Manish. ;
subject: Microsoft software. ;;Microsoft .NET Framework. ;;Database Management;Computer Science;Microsoft and .NET. ; http://scigraph.springernature.com/things/product-market-codes/I29030. ;;Database Management. ; http://scigraph.springernature.com/things/product-market-codes/I18024. ;;Computer Applications. ; http://scigraph.springernature.com/things/product-market-codes/I23001. ;;004.165 ; 23 ;;QA76.76.M52 ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: 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 DBees 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 youeell 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 MongoDBees 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 MongoDBees client driver Make use of sizing best practices and performance optimization scenarios Optimize MongoDBees partition mechanism and indexing. ;
Description: 
SpringerLink (Online service) ;



Printed edition: ; 9781484236819. ;


Printed edition: ; 9781484236833. ;
URI: http://localhost/handle/Hannan/741
ISBN: 9781484236826 ;
9781484236819 (print) ;
9781484236833 (print) ;
More Information: XVIII, 209 p. 118 illus. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484236819.pdf7.04 MBAdobe PDFThumbnail
Preview File