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Online Talk

Stream Data with Confluent Cloud into Databricks

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Available On-demand

Cloud data warehouses power business-critical and advanced analytics for organizations at lower costs, increased elasticity, and improved performance.

However, the journey to a cloud data warehouse isn’t always easy or fast given the high costs of intermediary data systems and the complexities of integrating data silos across hybrid or multicloud environments. Existing data pipelines are often brittle and rigid with data fidelity and governance challenges. Learn how Confluent and Databricks help modernize your data architecture.

In this webinar, we’ll walk through how to build Confluent streaming data pipelines to Databricks across on-prem and cloud environments to enable real-time BI, AI, and machine learning use cases. Our demo will show how to create a real-time risk reporting dashboard using:

  • Confluent’s pre-built source and sink connectors, including Change Data Capture (CDC)
  • ksqlDB to build stream processing applications, joining and enriching data streams in real time
  • Stream Governance with Schema Registry to ensure downstream compatibility
  • Databricks Delta Lake for BI and reporting

Additional Resources

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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
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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
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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