Simplify Cloud Data Warehouse Migrations with Confluent's Modern Data Solutions

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This post details Confluent's solution for modernizing data warehouses in hybrid and multi-cloud environments. It emphasizes building real-time ETL pipelines using Kafka and ksqlDB for data preprocessing, reducing TCO and time to value. The solution leverages Confluent's extensive connector ecosystem to integrate with various data sources and cloud data warehouses like Snowflake, Databricks, BigQuery, Redshift, and Synapse. It highlights the performance benefits of Kafka for high throughput and low latency, and introduces Cluster Linking as a mechanism to bridge on-premises Kafka clusters with Confluent Cloud. Specific reference architectures for Azure (Synapse, Databricks) and Google Cloud (BigQuery) are provided, showcasing the integration of Confluent Cloud with these platforms.