Book Image

Learning Azure Cosmos DB

By : Shahid Shaikh
Book Image

Learning Azure Cosmos DB

By: Shahid Shaikh

Overview of this book

<p>Microsoft has introduced a new globally distributed database, called Azure Cosmos DB. It is a superset of Microsoft's existing NoSQL Document DB service. Azure Cosmos DB enables you to scale throughput and storage elastically and independently across any number of Azure's geographic regions.</p> <p>This book is a must-have for anyone who wants to get introduced to the world of Cosmos DB. This book will focus on building globally-distributed applications without the hassle of complex, multiple datacenter configurations. This book will shed light on how Cosmos DB offers multimodal NoSQL database capabilities in the cloud at a scale that is one product with different database engines, such as key-value, document, graph, and wide column store. We will cover detailed practical examples on how to create a CRUD application using Cosmos DB with a frontend framework of your choice. This book will empower developers to choose their favorite database engines to perform integration, along with other systems that utilize the most popular languages, such as Node.js. This book will take you through the tips and trick, of Cosmos DB deployment, management, and the security offered by Azure Cosmos DB in order to detect, prevent, and respond to database breaches.</p> <p>By the end of this book, you will not only be aware of the best capabilities of relational and non-relational databases, but you will also be able to build scalable, globally distributed,<br />and highly responsive applications.</p>
Table of Contents (14 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Stream Analytics with Microsoft Azure

Anindita Basak, Krishna Venkataraman, Ryan Murphy, Manpreet Singh

ISBN: 978-1-78839-590-8

  • Perform real-time event processing with Azure Stream Analysis
  • Incorporate the features of Big Data Lambda architecture pattern in real-time data processing
  • Design a streaming pipeline for storage and batch analysis
  • Implement data transformation and computation activities over stream of events
  • Automate your streaming pipeline using PowerShell and the .NET SDK
  • Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms
  • Monitor and troubleshoot your Azure Streaming jobs effectively

Learning Microsoft Azure Storage Mohamed Waly

ISBN: 978-1-78588-491-7

  • Understand Azure Storage types and determine the appropriate one for your needs
  • Design Azure Storage for Azure VMs according to best practices
  • Design and implement your SQL Database on Azure according to best practices
  • Learn how to work with Azure Backup
  • Learn how to work with Azure Site Recovery
  • Extend Azure Storage to StorSimple
  • Monitor storage metrics and logs and customize the Azure monitoring dashboard
  • Monitor and troubleshoot Azure Storage