01056nam2 22002773i 450 VAN007642920230713010432.24720100901d1958 |0itac50 baitaIT|||| |||||ˆ<<1: ‰Parte generale >> 1Giuseppe Maggiore5. ed. accr. e aggBolognaZanichelli19581-487 p.26 cmFondo TribunaleIT-IT-CE0105 CONSXIV.Ea.239(1.1)001VAN00734222001 ˆ1: ‰Parte generaleart. 1-art. 240.1BolognaVANL000003MaggioreGiuseppeVANV058829200804Zanichelli <editore>VANV110843650ITSOL20240621RICABIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZAIT-CE0105VAN00VAN0076429BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00CONS XIV.Ea.239 (1.1) 00FT 34900 20100901 Fondo TribunaleParte generale 11436086UNICAMPANIA03479nam 22006015 450 991030075470332120200705214412.09781484236826148423682310.1007/978-1-4842-3682-6(CKB)4100000005679091(MiAaPQ)EBC5491448(DE-He213)978-1-4842-3682-6(CaSebORM)9781484236826(PPN)229919731(OCoLC)1052565599(OCoLC)on1052565599(EXLCZ)99410000000567909120180809d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCosmos DB for MongoDB Developers Migrating to Azure Cosmos DB and Using the MongoDB API /by Manish Sharma1st ed. 2018.Berkeley, CA :Apress :Imprint: Apress,2018.1 online resource (218 pages)9781484236819 1484236815 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.Microsoft softwareMicrosoft .NET FrameworkDatabase managementApplication softwareMicrosoft and .NEThttps://scigraph.springernature.com/ontologies/product-market-codes/I29030Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Computer Applicationshttps://scigraph.springernature.com/ontologies/product-market-codes/I23001Microsoft software.Microsoft .NET Framework.Database management.Application software.Microsoft and .NET.Database Management.Computer Applications.005.757Sharma Manishauthttp://id.loc.gov/vocabulary/relators/aut1063732UMIUMIBOOK9910300754703321Cosmos DB for MongoDB Developers2534272UNINA