Level Up Your Kafka Skills in Just 5 Days | Join Season of Streaming

Demo

Modernize your Database with Confluent and Azure Cosmos DB

Watch Now

On-prem databases are slow and rigid, costing businesses money in both upfront and ongoing maintenance costs. That limits the speed at which businesses can scale, experiment, and drive innovation. Today’s organizations need scalable, cloud-native databases for improved agility, elasticity, and cost-efficiency.

However, migrating and modernizing your database can be a long journey that spans multiple teams and batch-based tools. It's highly complex and resource-intensive to load and transform data with low latency. However, modernizing your database doesn’t have to be this much of a headache.

In this demo, we will show you how to connect on-premises and multi-cloud data to Azure Cosmos DB, process that data in a stream before it reaches Azure Cosmos DB, and connect your Azure Cosmos DB data to any application. Stream processing helps manage costs and improve performance so you get high-throughput, low-latency, real-time analytics and applications.

You can expect to learn how to:

  • Quickly deploy a Kafka cluster and load it with sample data
  • Easily process, merge, and enrich your data using fully managed ksqlDB
  • Leverage fully managed connectors to quickly build complete data pipelines for your real-time apps

Additional Resources

cc demo

Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
kafka microservices

Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
Image-Event-Driven Microservices-01

e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices