In this blog post, we show how to use the Spark 3 OLTP connector for Cosmos DB Core (SQL) API with Azure Databricks workspace and explains how the Catalog API is being used. Also, explores the differences between the partitioning strategies when reading the data from Cosmos DB.
Enable smooth data transfers between Apache Kafka and Azure Cosmos DB. New self-managed source and sink Azure Cosmos DB connectors for Kafka Connect are available now and can be downloaded from Confluent Hub or on GitHub.
We’re excited to announce two updates to our Azure Cosmos DB notebooks preview. Notebooks are now available in 29 regions, and with the new public gallery, publish and share your notebooks with the broader Azure Cosmos DB community
Azure Cosmos DB now offers continuous backup with point-in-time restore capabilities. This feature can help to recover your database from accidental delete of accounts, containers or mutation of data. The restore can be accomplished through a wide area of tools available on the platform.
You can now use composite indexes in Azure Cosmos DB to optimize additional cases of the most common inefficient queries! Anytime you have a slow or high RU query, you should first consider whether the query can be optimized with a composite index.
This blog is the final part of a series of blogs where we’ll demystify commonly confused concepts for developers learning how to query data using Azure Cosmos DB. Today, we’ll walk through tips and tricks for querying arrays.