For many companies, the journey to the cloud started as a new use case or application. In many cases, applications need to pull data from disparate sources, which is tricky if data lives both on-prem and in the cloud.
For 60% of companies, integrating multiple data sources is a critical hurdle to overcome in order to access more real-time, actionable data. Getting data from traditional databases to the cloud is cumbersome, slow, and expensive.
But it doesn't have to be.
In this session, we'll explore how Confluent helps companies modernize their database strategy with Confluent Cloud and modern Azure data services like Cosmos DB. Confluent accelerates getting data to the cloud and reduces costs by implementing a central-pipeline architecture using Apache Kafka®. Also, as companies are expected to “do more with less,” Confluent’s fully managed, cloud-native, and complete data streaming platform dramatically reduces development & operational costs, burdens, and risks, saving businesses ~$2.5M in TCO vs. managing Kafka in-house.
With Confluent, companies can connect their systems and applications via a single platform that allows data to flow uninhibited across all parts of the business, powering innovation and real-time applications.
You'll leave this webinar with: