1.

Record Nr.

UNISALENTO991003160229707536

Autore

Brashear, William M.

Titolo

Greek Papyri from Roman Egypt / edited by William M. Brashear

Pubbl/distr/stampa

Berlin : Staatliche Museen Preussischer Kulturbesitz, 1976

Descrizione fisica

XVI, 239 p., [14] p. di tav. ; 26 cm.

Collana

Aegyptische Urkunden aus den Koeniglichen Museen zu Berlin ; 13

Disciplina

481

Soggetti

Papiri greci - Egitto romano

Lingua di pubblicazione

Greco antico

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910300754703321

Autore

Sharma Manish

Titolo

Cosmos DB for MongoDB Developers : Migrating to Azure Cosmos DB and Using the MongoDB API / / by Manish Sharma

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018

ISBN

9781484236826

1484236823

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (218 pages)

Disciplina

005.757

Soggetti

Microsoft software

Microsoft .NET Framework

Database management

Application software

Microsoft and .NET

Database Management

Computer Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Sommario/riassunto

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.