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Matei Zaharia
Berkeley, California,United States
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Find Matei Zaharia's PhoneWho Is Matei Zaharia?
Matei Zaharia is the CTO and co-founder of Databricks, a data and AI platform used by thousands of enterprises. He is also an Associate Professor of Computer Science at UC Berkeley. During his PhD, he started the Apache Spark computing engine and helped develop other widely used open-source data and AI software, including MLflow, Delta Lake, DBRX, Dolly, DSPy, MegaBlocks, and ColBERT. His research focuses on natural language processing, databases, and security, particularly building reliable applications with LLMs. At Databricks, he contributes to all areas of the product.
How Did Matei Zaharia's Career Path Shape Their Journey?
Matei Zaharia's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
What Are Matei Zaharia's Key Achievements?
Created Apache Spark
Started the Apache Spark computing engine during his PhD at UC Berkeley, which has become a widely adopted open-source big data processing framework.
Co-founded Databricks
Co-founded Databricks, a leading data and AI platform, providing a unified environment for data engineering, data science, and machine learning.
Developed MLflow
Helped develop MLflow, an open-source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
Developed Delta Lake
Helped develop Delta Lake, an open-source storage layer that brings reliability to data lakes, enabling ACID transactions and scalable metadata handling.
What's Matei Zaharia's Educational Background?
PhD, Computer Science
University of California, Berkeley - Year 2007
Bachelor of Mathematics, Honours Computer Science
University of Waterloo - Year 2003
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Company Overview
DatabricksDatabricks is a data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, AI and governance.
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