Azure Cosmos DB provides a scalable database solution that can handle both ingestion and query, and enables developers to implement lambda architectures with low TCO. Lambda architectures enable efficient data processing of massive data sets. Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.
We are happy to announce that the Apache Spark to Azure Cosmos DB Connector is now generally available. It enables real-time data analytics and data science, machine learning, and exploration over…
Today, we’re excited to announce that the Spark connector for Azure Cosmos DB is now truly multi-model! As noted in our recent announcement Azure Cosmos DB: The industry’s first globally-distributed, multi-model database service, our goal is to help you write globally distributed apps, more easily, using the tools and APIs you are already familiar with.
At the Strata + Hadoop World 2017 Conference in San Jose, we have announced the Spark to DocumentDB Connector. It enables real-time data science, machine learning, and exploration over globally…