Memory is the key to fast big data processing. This has been realized by many, and frameworks such as Spark and Shark already leverage … Continued
Alluxio Resources
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We introduce Tachyon, a memory centric fault-tolerant distributed file system, which enables reliable file sharing at memory-speed across cluster frameworks, such as Spark and … Continued
Shaoshan Liu (Baidu) presents how Tachyon can help improve big data analytics (ad-hoc query) efficiency within Baidu. … Continued
AMP Camps are Big Data training events organized by the UC Berkeley AMPLab about big data analytics, machine learning, and popular open-source software projects … Continued
Tachyon is a distributed file system enabling reliable data sharing at memory speed across cluster computing frameworks. While caching today improves read workloads, writes … Continued
Spark Summit 2014 - Haoyuan Li introduces Tachyon, a distributed in-memory storage system. Along with how Tachyon can further improve Spark’s performance and the … Continued
Tachyon is a distributed file system enabling reliable data sharing at memory speed across cluster computing frameworks. While caching today improves read workloads, writes … Continued
UC Berkeley Amplab 2013 - Tachyon is a distributed file system enabling reliable data sharing at memory speed across cluster computing frameworks. … Continued
As ever more big data computations start to be in-memory, I/O throughput dominates the running times of many workloads. For distributed storage, the read … Continued