Getting Started with Database Modernization

Cloud database modernization is increasingly important as organizations move workloads from on-premises systems to cloud platforms for lower costs, scalability, agility, and real-time data use, while self-managed databases can be rigid, costly, and difficult to scale. The passage presents Confluent’s three-phase approach of Connect, Optimize, and Modernize: managed Kafka Connect source and sink connectors integrate existing systems with Kafka and cloud destinations; ksqlDB enables teams to build SQL-based real-time stream-processing applications with features such as joins, aggregations, windowing, fault tolerance, and exactly-once processing; and sink connectors plus single message transformations deliver customized event data to cloud systems such as Azure Synapse and Azure Cosmos DB. Confluent positions its managed data-streaming platform as a centralized alternative to complex point-to-point integrations, claiming it reduces operational burden, development risk, and total cost of ownership while supporting real-time applications and analytics across an organization.

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