Showing results for Tips and Tricks - Azure Cosmos DB Blog

  Creating event sourcing solutions with Azure Cosmos DB is easy with Azure Functions Triggers, where you can leverage the Change Feed Processor's powerful scaling and reliable event detection functionality, without the need to maintain any worker infrastructure. You can just focus on your Azure Function's logic without worrying about the ...

The Azure Cosmos DB Java SDK for SQL API (hereafter “Java SDK”) provides support for Java applications with Azure Cosmos DB. Java SDK 4.0 General Availability is coming soon! To help customers prepare for this and take advantage of all the new great features, I'll be writing a series of blog posts around this as well as including helpful ...

Organizations migrating relational data to Azure Cosmos DB meet different challenges, from moving large amounts of data, to performing the transformations required to properly store the data in a format that will provide the performance required. The first step on this type of migrations is to come up with the non-relational model that will ...

Learn how to use the Azure Cosmos DB .NET SDK TransactionalBatch support to leverage transactional scope on groups of operations that need to atomically commit as a unit

A worked through sample for migrating relational data with one-to-few relationships into Azure Cosmos DB SQL API.

Azure Cosmos DB now has GA support for Change Feed for its Cassandra API. This now allows users of Azure Cosmos DB's Cassandra API to get the same great advantages of using Change Feed as enjoyed by users of SQL (Core) API and MongoDB API. What is Change Feed? Azure Cosmos DB's Change Feed is a persistent log of documents within a container. A ...

Learn how to use the Azure Cosmos DB .NET SDK Bulk support to create high throughput data migration and ingestion applications that are optimized to take advantage of your provisioned throughput