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Meet Ray, the Real-Time Machine-Learning Replacement for Spark
Researchers at UC Berkeley's RISELab have developed a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. Ca Read more…
AMPLab Releases Succinct, A New Way to Query Data in Spark
The folks at UC Berkeley's' AMPLab are starting to talk publicly about Succinct, a fast new in-memory data store aimed at enabling users to query large amounts of compressed data, in a fast and direct fashion. Early test Read more…
Spark Gets New Machine Learning Framework: KeystoneML
The AMPLab this week announced the release of KeystoneML, a framework for building and deploying large-scale machine-learning pipelines within Apache Spark. While the software is still in alpha stage, it's stable enough Read more…