Reynold Xin

EN Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.

Reynold Xin is a computer scientist, engineer, and entrepreneur specializing in big data, distributed systems, and cloud computing. He is a co-founder and Chief Architect of Databricks. He is best known for his work on Apache Spark, a leading open-source Big Data project. He was designer and lead developer of the GraphX, Project Tungsten, and Structured Streaming components and he co-designed DataFrames, all of which are part of the core Apache Spark distribution; he also served as the release manager for Spark's 2.0 release. He was the top cited scholar in the field of databases, according to the 2021 AI 2000 records. Xin started his work on the Spark open source project while he was a doctoral candidate at the AMPLab at the University of California, Berkeley. He received his Ph.D. in computer science from Berkeley, where his advisors were Michael J. Franklin and Ion Stoica. The first research project, Shark, created a system that was able to efficiently execute SQL and advanced analytics workloads at scale. Shark won Best Demo Award at SIGMOD 2012. Shark was one of the first open source interactive SQL on Hadoop systems, with claims that it was between 10 and 100 times faster than Apache Hive.