INFORMAZIONI SU QUESTO EPISODIO
Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights. Read the full show notes at www.fivetran.com/podcast.
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Cerca gli episodi passati di The Fivetran Data Podcast.
ALTRI EPISODI IN QUESTO PODCAST
George Fraser, CEO of Fivetran, and Justin Borgman, CEO of Starburst, dive into the competitive landscape and evolution of modern query engines and data lakes. Discover how Starburst’s Trino engine and open table formats like Iceberg drive agile, scalable data solutions for AI innovation while enab…
George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.
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With technological innovation accelerating at an unprecedented pace, businesses are challenged to rethink their approach and empower employees to stay competitive. Sadie St. Lawrence, Founder & CEO of the Human Machine Collaboration Institute, joins us to explore how organizations can navigate …
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