LEADER 03479nam 22006015 450 001 9910300754703321 005 20200705214412.0 010 $a9781484236826 010 $a1484236823 024 7 $a10.1007/978-1-4842-3682-6 035 $a(CKB)4100000005679091 035 $a(MiAaPQ)EBC5491448 035 $a(DE-He213)978-1-4842-3682-6 035 $a(CaSebORM)9781484236826 035 $a(PPN)229919731 035 $a(OCoLC)1052565599 035 $a(OCoLC)on1052565599 035 $a(EXLCZ)994100000005679091 100 $a20180809d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCosmos DB for MongoDB Developers $eMigrating to Azure Cosmos DB and Using the MongoDB API /$fby Manish Sharma 205 $a1st ed. 2018. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018. 215 $a1 online resource (218 pages) 311 08$a9781484236819 311 08$a1484236815 330 $aLearn 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. 606 $aMicrosoft software 606 $aMicrosoft .NET Framework 606 $aDatabase management 606 $aApplication software 606 $aMicrosoft and .NET$3https://scigraph.springernature.com/ontologies/product-market-codes/I29030 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aComputer Applications$3https://scigraph.springernature.com/ontologies/product-market-codes/I23001 615 0$aMicrosoft software. 615 0$aMicrosoft .NET Framework. 615 0$aDatabase management. 615 0$aApplication software. 615 14$aMicrosoft and .NET. 615 24$aDatabase Management. 615 24$aComputer Applications. 676 $a005.757 700 $aSharma$b Manish$4aut$4http://id.loc.gov/vocabulary/relators/aut$01063732 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910300754703321 996 $aCosmos DB for MongoDB Developers$92534272 997 $aUNINA