961 citations · 1k across the 4 of their papers we have counts for
4 papers
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph Bradley, Burak Yavuz +13
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's ope…
GraphX: Unifying Data-Parallel and Graph-Parallel Analytics
Reynold S. Xin, Daniel Crankshaw, Ankur Dave +3
From social networks to language modeling, the growing scale and importance of graph data has driven the development of numerous new graph-parallel systems (e.g., Pregel, GraphLab)…
Shark: SQL and Rich Analytics at Scale
Reynold Xin, Josh Rosen, Matei Zaharia +3
Shark is a new data analysis system that marries query processing with complex analytics on large clusters. It leverages a novel distributed memory abstraction to provide a unified…
The End of an Architectural Era for Analytical Databases
Reynold S. Xin
Traditional enterprise warehouse solutions center around an analytical database system that is monolithic and inflexible: data needs to be extracted, transformed, and loaded into t…