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Thierry Cruanes is a visionary database architect and entrepreneur, widely recognized as one of the three co-founders of Snowflake, the groundbreaking cloud data platform. With a career spanning over two decades, he has been at the forefront of database systems innovation. Before co-founding Snowflake in 2012 with Benoît Dageville and Marcin Zukowski, Thierry spent 15 years at Oracle, where he was a lead architect for query processing and played a pivotal role in the development of parallel execution and optimization technologies. At Snowflake, he was instrumental in designing the platform's revolutionary architecture, which separates compute from storage, a concept that has since redefined the data warehousing industry. His expertise in query optimization and cloud infrastructure has been a driving force behind Snowflake's success and its ability to offer unprecedented performance, concurrency, and simplicity to its users.
Thierry Cruanes's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Snowflake in 2012, leading the company from a stealth-mode startup to one of the largest software IPOs in history. He helped establish a new category of cloud-native data platforms, transforming how organizations store, process, and analyze data.
Was a key architect behind Snowflake's multi-cluster, shared data architecture. This innovative design decouples storage and compute resources, allowing customers to scale them independently and pay only for what they use, a major departure from traditional data warehouse solutions.
During his tenure at Oracle, Thierry was a lead architect and key innovator in the fields of database parallelism and query optimization. His work contributed significantly to the performance and scalability of the Oracle Database, one of the world's leading database systems.
Université Pierre et Marie Curie (Paris VI) - Year 1991
Université de Caen Basse Normandie / Universite de Caen - Year 1986
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Snowflake provides a cloud-based data platform, known as the Data Cloud. It enables organizations to consolidate their data into a single source of truth for various workloads, including data warehousing, data lakes, data engineering, data science, and application development. Its unique architecture separates compute from storage, allowing users to scale resources independently and pay only for what they use. The platform runs on all three major cloud providers (AWS, Azure, and Google Cloud), offering a seamless multi-cloud experience and facilitating secure, real-time data sharing across organizations.
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