In this talk, we briefly introduce Alluxio, present several ways how Alluxio can help Spark be more effective, show benchmark results with Spark RDDs & DataFrames, and describe production deployments with both Alluxio and Spark working together.
Strata+Hadoop 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.
Southern California Data Science Conference 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.
Big Data Day LA 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.
by Ziya Ma [Intel], Calvin Jia, Jiri Simsa, Haoyuan Li, & Gene Pang
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.
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.
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.