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This blog post discusses the evolution of Snowflake into a data cloud and the challenges it presents in terms of cost. It explores the use of data streaming with Apache Kafka and Apache Flink to reduce costs, improve data quality, and process data more efficiently. The post also discusses the benefits of using Apache Iceberg’s open table format and various analytical query engines for real-time and batch use cases.