How to Build Scalable Real-time Applications on a Databricks Lakehouse with Confluent

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For many organizations, real-time data collection and data processing at scale can provide immense advantages for business and operational insights. The need for real-time data introduces technical challenges that require skilled expert experience to build custom integration for a successful real-time implementation. For customers looking to implement streaming real-time applications, our partner Confluent recently announced a new Databricks Connector for Confluent Cloud. This new fully-managed connector is designed specifically for the data lakehouse and provides a powerful solution to build and scale real-time applications such as application monitoring, internet of things (IoT), fraud detection, personalization and gaming leaderboards. Organizations can now use an integrated capability that streams legacy and cloud data from Confluent Cloud directly into the Databricks Lakehouse for business intelligence (BI), data analytics and machine learning use cases on a single platform.

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