This ebook presents case studies of organizations modernizing legacy Hadoop environments using Starburst. It explains the limitations of traditional Hadoop architectures, including slow query performance, high operational overhead, and poor support for real-time analytics. The book showcases real-world examples across healthcare, finance, telecom, and media, highlighting outcomes such as 10–20x performance improvements, reduced infrastructure costs, and faster time to insight. It positions the data lakehouse as the natural evolution of Hadoop and demonstrates how Starburst enables organizations to modernize incrementally without disruptive migrations.

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