Strata Data Conference London 2017 – Learn about stream processing on Alluxio from real-world workloads at Qunar, as well as how to position Alluxio in the streaming architecture
Tags: architecture, big data, conference, data, data engineering, distributed systems, performance, storage, tiered storage, unified namespace
Joint webinar – Mesosphere DC/OS is a production-proven platform that powers both modern app components – containers and data services – so businesses can accelerate time to market with confidence, and save. We have seen tremendous interest from users to be able to run Alluxio via DC/OS.
Tags: cloud storage, data, data engineering, data orchestration, on-prem object storage, storage, webinar
Ceph Days 2017 – Adit Madan presents on enabling fast big data analytics on Ceph with Alluxio.
Tags: alluxio engineering, analytics, big data, ceph, cloud object storage, cloud storage, conference, data, on-prem object storage, storage
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.
Tags: alluxio engineering, apache spark, architecture, big data, cloud, compute storage separation, conference, data, performance, rdd, spark, storage
Scala by the Bay 2016 – Throughout our four-year history, Scala and Scale By the Bay is leading the way on evangelizing and understanding modern software architectures. We have the best set of them here, including Akka, Kafka, Spark, Finagle, Lagom, and so on. How do they come together in a SMACK / MIND Stack? What are the best practices to follow and pitfalls to avoid? This panels of experienced practitioners will discuss and illuminate it all.
Tags: alluxio engineering, architecture, conference, data, data engineering, spark
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.
Tags: alluxio engineering, architecture, big data, cloud, compute storage separation, conference, hadoop, performance, scale, storage, strata, tiered storage, unified namespace
In this talk, we briefly introduce Alluxio, present several ways how Alluxio can help Spark be more effective, show benchmark results with Spark RDDs and DataFrames, and describe production deployments both Alluxio and Spark working together.
Tags: alluxio engineering, analytics, apache spark, big data, compute, conference, data, data engineering, spark, storage
Big Data Spark Online Training shares this demonstration video on how to install Alluxio (formerly Tachyon) on an Ubuntu operating system.
Tags: alluxio engineering, big data, data, performance, spark, storage
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.
Tags: alluxio engineering, architecture, big data, cloud, compute storage separation, conference, performance, scale, storage, tiered storage, unified namespace