Download Tutorial Scaling Web Apps with Cosmos DB
The data is exploding all over the site and your application needs an update for its database. You need to accommodate incoming data without being involved in every small detail. Yes! You can do that with Azure Cosmos DB – the globally distributed, multi-model database service offered by Microsoft Azure to serve your applications on a planet-scale. Azure Cosmos DB is a fast and flexible globally replicated database, well-suited for IoT, gaming, retail, and operational logging applications.
In this course, we’ll show you how to create and integrate your Azure Cosmos DB with the various NoSQL databases. This course has got everything from finding the right database for your data and your different workloads to the ease of administration, scalability, and SLA that you can rely on. With a click of a button, Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure’s geographic regions.
You’ll see how Cosmos DB is the best choice for your cloud database. With the skills we pass on, you’ll be able to solve challenges and problems such as fixing the database model, availability, scalability, latency, data schemas, and others. In no time, you’ll learn to build your application with Cosmos DB’s best cloud database while minimizing your administration and maintaining your availability and scalability.
Table of Contents:
– Chapter 1: Working with the JSON Documents in Azure Cosmos DB SQL API
– Chapter 2: Working with Azure Cosmos DB – Table Storage
– Chapter 3: Implementing the Gremlin Graph Database with Azure Cosmos DB
– Chapter 4: Integrating Azure Cosmos DB API with MongoDB
– Chapter 5: Integrating Azure Cosmos DB API with Cassandra DB
– Chapter 6: How-To’s and Quick Fixes
Manufacturer: Packt Publishing
English name: Packt Scaling Web Apps with Cosmos DB
Persian name: web development tutorials with Kas MS database
Language Learning: English
Teacher: TetraNoodle Technologies
Level of training: Elementary, Secondary
Training time: 1 hour + 56 minutes
File Size: 642 M