Azure Cosmos DB with Jay Gordon
with Jay Gordon, Senior Cloud Advocate, Microsoft
Explore Azure Cosmos DB with Jay Gordon, Senior Cloud Advocate at Microsoft. Learn about global distribution, multi-model capabilities, and best practices for designing scalable database solutions in the cloud.
Join us for an enlightening conversation with Jay Gordon, Senior Cloud Advocate at Microsoft, as we explore the capabilities and best practices of Azure Cosmos DB. Jay shares his expertise on designing, scaling, and optimizing database solutions for global applications.
Episode Highlights
- Understanding Azure Cosmos DB’s multi-model capabilities
- Global distribution and data sovereignty considerations
- Performance tuning and optimization strategies
- Cost management techniques for NoSQL workloads
- Real-world use cases and implementation patterns
Jay provides practical insights and demos based on his experience helping developers and organizations leverage Azure Cosmos DB effectively.
Key Takeaways
- Proper partitioning strategy is fundamental to performance and scaling
- Understanding consistency levels helps balance availability and consistency needs
- Serverless options provide cost-effective solutions for variable workloads
- Cosmos DB’s multi-model support allows flexibility in data modeling approaches
About Our Guest
Jay Gordon is a Senior Cloud Advocate at Microsoft focusing on Azure data platforms, particularly Cosmos DB. With a background in database administration and development, Jay helps developers understand how to effectively implement cloud-native database solutions. He is a frequent speaker at technology events, writes extensively about cloud technologies, and is passionate about helping the community solve real-world data challenges.