Learning Azure Cosmos DB : a beginner's guide to creating scalable, globally distributed, and highly responsive applications using Cosmos DB.

Azure Cosmos DB is Microsoft's globally distributed, multi-model database providing low-latency and industry-standard SLAs. In this book, you will learn about Azure Cosmos DB features and how to implement and integrate them with real-world applications.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shaikh, Shahid
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2018.
Temas:
Windows Azure.
Windows Azure
Cloud computing.
Infonuagique.
Data capture & analysis.
Data warehousing.
Databases.
Computers > Data Processing.
Computers > Database Management > Data Warehousing.
Computers > Database Management > General.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Cloud computing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Introducing Microsoft Azure Cloud and Cosmos DB; Microsoft Azure Cloud features; Microsoft Azure as an SPI; Azure as PaaS; Azure as IaaS; Azure components; Getting started with Azure; Compute modules; Data management modules; Networking module; Big data modules; Caching module; Messaging module; Identity module; Mobile service module; IoT modules; Azure Cosmos DB; Turnkey global distribution; Multilevel data models; Scale on demand; High response with less latency; Consistency models.
  • Money-back guarantee and SLACosmos DB use cases; IoT; Retail and marketing; Gaming; Web and mobile applications; Summary; Chapter 2: Cosmos DB Global Turnkey Distribution; Setting up an Azure subscription; Creating an Azure Cosmos DB database; Adding data in MongoDB; Distributing data using global turnkey distribution; Failover handling; Automatic failover; Manual failover; Summary; Chapter 3: Cosmos DB Multi-model Databases; Cosmos DB data models; ARS; DocumentDB API; The MongoDB data model; The tables data model; The graph (Gremlin) data model; Cassandra API.
  • The Cosmos DB consistency levelsSummary; Chapter 4: Querying Cosmos DB; Performing CRUD operations in DocumentDB; DocumentDB query basics; Creating data in Cosmos DB; Reading data from DocumentDB; Updating and deleting documents; Performing CRUD operations in MongoDB; Performing CRUD operations in Graph DB; Performing CRUD operations in tables (key value store); Performing CRUD operations in Cassandra.; Summary; Chapter 5: Integrating Cosmos DB with Node.js; Node.js setup; Cosmos DB MongoDB setup; Connecting Cosmos DB with the Node.js app; App data in Cosmos DB.
  • Integrating the DocumentDB API with Node.jsIntegrating the Table API with Node.js; Integrating the Graph API with Node.js; Summary; Chapter 6: Building a High-Performance Link Shortening and Tracking System Using Cosmos DB; Why do we need URL shortening?; Requirements of the system; Capacity estimation; Database design; Encoding URL algorithms; Node app development; Security and permission; Summary; Chapter 7: Building a Highly Available, Real-Time Email Tracking System using Cosmos; Is email tracking legal?; System design and assumptions; Choosing the database API in Cosmos DB.
  • Writing our email senderTracking emails and storing tracking data; Summary; Chapter 8: Cosmos DB Deployment and Management; Turnkey distribution; Failover handling; Automatic failover; Manual failover; Database deployment; Backup and restore; Deploying a custom app over the Azure network; Monitoring traffic and usage; Database security; Summary; Other Books You May Enjoy; Index.

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