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Tag Archives:

The missing piece in complex analytics: Low latency, scalable model management and serving with Velox

Dan Crankshaw, Peter Bailis, Joseph Gonzalez, Haoyuan Li, Zhao Zhang, Michael Franklin, Ali Ghodsi, Michael Jordan
Conference on Innovative Data Systems Research (CIDR), Jan. 2015.
Tags: BDAS, Machine Learning, Real-time, Velox

Alluxio (formerly Tachyon), a Memory Speed Virtual Distributed Storage System

As datasets continue to grow, storage and networking pose the most challenging bottlenecks for many workloads. To address the bottleneck, … Continue reading →

Tags: Alluxio, BDAS, Big Data, hadoop, storage

Fast and Interactive Analytics over Hadoop Data with Spark

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker, Ion Stoica
Usenix ;login:, Aug. 2012.
Tags: BDAS, Big Data, hadoop, spark

Shark: Fast Data Analysis Using Coarse-grained Distributed Memory (Best Demo Award)

Cliff Engle, Antonio Lupher, Reynold Xin, Matei Zaharia, Michael Franklin, Scott Shenker, Ion Stoica
Demonstration Paper, ACM SIGMOD Conference , May. 2012.
Tags: BDAS, Best Paper Award, Big Data, Shark, spark, SQL

Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (Best Paper Award)

Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Murphy McCauley, Michael Franklin, Scott Shenker, Ion Stoica
NSDI 2012, Apr. 2012.
Tags: BDAS, Best Paper Award, Big Data, spark, storage


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