Importing Data into Cosmos DB: Tools & Capacity Planning | Rakhi Thejraj | Azure Cosmos DB Conf 2026

You have data somewhere else and need to get it into Azure Cosmos DB — fast, reliably, and without burning through your budget. Rakhi Thejraj (Principal PM, Azure Cosmos DB) compares the import options and shows how to plan and execute data migrations efficiently: • Import tools and tradeoffs — Desktop Data Migration Tool, Azure Data Factory, and the Cosmos DB Spark connector • Capacity planning and cost optimization — estimating RU requirements and pre-scaling for faster ingestion • Post-import optimization — scaling throughput back down and partition merge • Best practices — error handling, retries, validation, and indexing during bulk loads Each tool includes a hands-on walkthrough with real data, highlighting the configuration settings that matter most. 👤 Connect with Rakhi Thejraj 📝 Rakhi Thejraj is a Principal Program Manager at Microsoft, focused on Azure Cosmos DB. She specializes in data ingestion, scalability, and cost optimization for distributed NoSQL workloads. Rakhi works with enterprise customers to optimize their throughput and enable reliable, high-performance data platforms at global scale. 💼 https://www.linkedin.com/in/rakhi-thejraj-61a314b8/ 🎤 https://developer.azurecosmosdb.com/conf/#speaker/rakhi-thejraj --- Azure Cosmos DB Conf 2026 is a free virtual developer event focused on building modern, scalable applications with Azure Cosmos DB. Sessions feature Microsoft engineers, product teams, and members of the global developer community sharing real-world solutions and best practices. Originally streamed on April 28, 2026 | 9:00 AM – 2:00 PM PT 🔗 Useful Links • Explore all sessions on-demand — https://aka.ms/CosmosConf26Playlist • Take the Cosmos Conf Challenge. First 500 to complete gets a voucher for 100% free certificate exam for DP-420 — https://aka.ms/CosmosDBConfChallenge • Azure DB Cosmos Conference 2026 Post-Event Survey — https://aka.ms/CosmosConf2026Survey • Visit the conference website — https://aka.ms/azurecosmosdbconf •