Craig Miller is a distinguished technologist and entrepreneur, best known as a Co-founder and Chief Architect of Databricks. With a deep background in distributed systems and large-scale data processing, stemming from his PhD research at UC Berkeley's AMPLab, Miller played an instrumental role in the creation and development of Apache Spark, the open-source unified analytics engine. At Databricks, he continues to drive the technical vision, focusing on building cutting-edge platforms for data engineering, data science, and machine learning, enabling organizations to leverage the full potential of their data and AI initiatives. He is recognized for his expertise in building robust, scalable, and high-performance data infrastructure.
Craig Miller's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Databricks in 2013, a leading data and AI company, instrumental in commercializing Apache Spark and building a unified analytics platform that has revolutionized how organizations handle big data and machine learning.
Played a pivotal role in the research, design, and development of Apache Spark at UC Berkeley's AMPLab. Spark became a foundational technology for big data processing, known for its speed and versatility.
As Chief Architect, leads the technical strategy and architectural direction for Databricks' Lakehouse Platform, ensuring its scalability, performance, and innovation in the rapidly evolving data and AI landscape.
Earned his PhD in Computer Science from the University of California, Berkeley, where his research in the AMPLab laid groundwork for future innovations in data systems.
University of Bedfordshire - Year 2002
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