As the first meetup after the rebranding from Tachyon to Alluxio, we will first present exciting updates and new developments of the community. Followed by many new features and improvements in Alluxio 1.0 and 1.1 releases.
Tags: alluxio engineering, architecture, aws, aws s3, big data, cloud, cloud storage, compute, compute storage separation, data, meetup, performance, spark
O’Reilly – An Alluxio tour to any data scientist, developer or system administrator looking to improve the performance of their workloads, develop applications with Alluxio, or deploy and manage Alluxio clusters.
Tags: alluxio engineering, big data, cloud, cloud storage, compute, data, performance, unified namespace
DataDriven NYC 2016 – In the past year, the Alluxio project experienced a tremendous improvement in performance and scalability and was extended with key new features including tiered storage, transparent naming, and unified namespace. At the same time, the Alluxio ecosystem has expanded to include support for more under storage systems and computation frameworks.
Tags: alluxio engineering, big data, compute, compute storage separation, data, data engineering, distributed systems, performance, scale, storage, tiered storage
Strata+Hadoop World 2016 – Baidu deployed Alluxio to accelerate its big data analytics workload. Bin Fan and Haojun Wang explain why Baidu chose Alluxio, as well as the details of how they achieved a 30x speedup with Alluxio in their production environment with hundreds of machines. Based on the success of the big data analytics engine, Baidu is currently expanding the Alluxio and Spark infrastructure to accelerate other applications, such as machine learning.
Tags: analytics, big data, compute, data, data engineering, data orchestration, machine learning, performance, storage
Strata+Hadoop World 2016 – Tachyon, a memory-centric fault-tolerant distributed storage system. An introduction of architecture, performance evaluation, and real world use cases.
Tags: architecture, big data, data, distributed systems, performance, rdd, spark, storage
ODSC West 2015 – Tachyon, a memory-centric fault-tolerant distributed storage system. An introduction of architecture, performance evaluation, and real world use cases.
Tags: architecture, big data, data, distributed systems, performance, rdd, spark, storage
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 produced by the AMPLab.
Tags: alluxio engineering, analytics, big data, cloud, compute, machine learning
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 integration between the two systems.
Tags: apache spark, big data, conference, distributed systems, performance, spark
UC Berkeley Amplab 2013 – Tachyon is a distributed file system enabling reliable data sharing at memory speed across cluster computing frameworks.
Tags: caching, cloud, cloud storage, data, hdfs, performance, storage