Microsoft Azure Cosmos DB Revealed [electronic resource] : A Multi-Modal Database Designed for the Cloud / by José Rolando Guay Paz
- Author:
- Guay Paz, José Rolando
- Published:
- Berkeley, CA : Apress : Imprint: Apress, 2018.
- Physical Description:
- XV, 258 pages 136 illustrations, 133 illustrations in color : online resource
- Additional Creators:
- SpringerLink (Online service)
Access Online
- Contents:
- 1. Introduction to Azure Cosmos DB -- 2. Learning Azure Cosmos DB Concepts -- 3. Working with an Azure Cosmos DB Database -- 4. Importing Data into An Azure Cosmos DB Database -- 5. Querying an Azure Cosmos DB Database -- 6. Working with a Globally Distributed Database -- 7. Advanced Concepts.
- Summary:
- Learn the main features of Azure Cosmos DB and how to use Microsoft’s multi-modal database service as a data store for mission-critical applications. The clear examples help in writing your own applications to take advantage of Cosmos DB’s multi-modal, globally distributed, elastic database. Simple step-by-step instructions show how to resolve common and uncommon scenarios involving Azure Cosmos DB, and scenarios such as delivering extremely low response times (in the order of milliseconds), and scaling rapidly and globally. Microsoft Azure Cosmos DB Revealed demonstrates a multitude of possible implementations to get you started. This book guides you toward best practices to get the most out of Microsoft’s Cosmos DB service. Later chapters in the book cover advanced implementation features, helping you master important elements such as securing the database, querying, and using various APIs. What You'll Learn: Set up a development environment to work with Azure Cosmos DB Configure Azure Cosmos DB in a production environment with multi-region distribution Query using all APIs, including SQL, JavaScript, MongoDB, and Graph Work with the Azure Cosmos DB.NET SDK in an application you built Access Cosmos DB from web applications created in .NET.
- Subject(s):
- ISBN:
- 9781484233511
- Digital File Characteristics:
- text file PDF
- Part Of:
- Springer eBooks
View MARC record | catkey: 22353219