Episode
Bulk read and update millions of items in seconds with the Azure Cosmos DB Spark Connector!
with Theo van Kraay
In modern day IoT scenarios, its common to receive batches of updates in the tens of millions from pre-processed signals - for example digital twin - from fleets of billions of devices. Suppose you need to read each item before doing the update - how do you process these updates in seconds without using enormous client resources? This session walks through the latest optimizations for bulk read/replace/patch in the Spark Connector to vastly improve the efficiency of this kind of operation.
Recommended resources
- See all the videos from Azure Cosmos DB Conf 2024
- Try Azure Cosmos DB Free
- Microsoft Developers AI Learning Hackathon
- Try Azure Cosmos DB free with Azure AI Advantage
Related episodes
Connect
In modern day IoT scenarios, its common to receive batches of updates in the tens of millions from pre-processed signals - for example digital twin - from fleets of billions of devices. Suppose you need to read each item before doing the update - how do you process these updates in seconds without using enormous client resources? This session walks through the latest optimizations for bulk read/replace/patch in the Spark Connector to vastly improve the efficiency of this kind of operation.
Recommended resources
- See all the videos from Azure Cosmos DB Conf 2024
- Try Azure Cosmos DB Free
- Microsoft Developers AI Learning Hackathon
- Try Azure Cosmos DB free with Azure AI Advantage
Related episodes
Connect
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