Best Practices for Using Alluxio with Apache Spark

Spark Summit San Francisco 2017 *

Alluxio, formerly Tachyon, is a memory speed virtual distributed storage system and leverages memory for storing data and accelerating access to data in different storage systems. Many organizations and deployments use Alluxio with Apache Spark, and some of them scale out to over PB’s of data. Alluxio can enable Spark to be even more effective, in both on-premise deployments and public cloud deployments. Alluxio bridges Spark applications with various storage systems and further accelerates data intensive applications. In this talk, we briefly introduce Alluxio, and present different ways how Alluxio can help Spark jobs. We discuss best practices of using Alluxio with Spark, including RDDs and DataFrames, as well as on-premise deployments and public cloud deployments.

Alluxio (Formerly Tachyon): The Journey thus Far and the Road Ahead

Vault Linux Storage and Filesystems Conference *

Haoyuan Li explores Alluxio’s goal of making its product accessible to an even wider set of users, through a focus on security, new language bindings, and further increased stability. Haoyuan also covers some new APIs Alluxio is working on to allow applications to access data more efficiently and manage data across different under storage systems.

Best Practices for Using Alluxio with Spark

Strata Data Conference New York 2017 *

Haoyuan Li and Cheng Chang explain how Alluxio makes Spark more effective in both on-premises and public cloud deployments and share production deployments of Alluxio and Spark working together. Along the way, they discuss best practices for using Alluxio with Spark, including with RDDs and DataFrames.

Guardant Health: Fast, scalable, data processing with Alluxio, Mesos, and Minio

Alluxio and Mesos Joint Meetup *

Speed is usually a key factor when analyzing large amounts of data. Alluxio enables analytics applications, such as Apache Spark, to retrieve stored data at memory speeds. DC/OS makes it easy to deploy distributed programs (such as Alluxio and Spark) and containers across large clusters.
In this talk, we will first discuss the development of the DC/OS Alluxio package, which deploys Alluxio on top of DC/OS, and then then demo the deployment a complete analytics stack, both with and without Alluxio, in order to see the benefits Alluxio provides.

Alluxio Exploration And Application Practice Meetup

Beijing Meetup *

In this issue, the Drip Technology Salon and the Alluxio community invited the core engineers of Didi Travel, Alluxio, Kyligence, JD.com, and Tencent to revolve around Alluxio’s position and design philosophy in the big data ecosystem, architectural features, latest developments, and well-known The company’s production-level environmental application exploration and practice, as well as the experience in the use of the process and other topics, and in-depth participants to share.

Accelerating Spark Workloads in a Mesos Environment with Alluxio

MesosCon Europe 2017 *

Using Alluxio, a memory speed virtual distributed storage system, deployed on Mesos enables connecting any compute framework, such as Apache Spark, to storage systems via a unified namespace. Alluxio enables applications to interact with any data at memory speed. Alluxio can eliminate the pains of ETL and data duplication, and enable new workloads across all data. Gene will discuss the architecture of Mesos, Spark and Alluxio to achieve an optimal architecture for enterprises.

Best Practices For Using Apache Spark With Alluxio

Spark Summit Europe 2017 *

Many organizations and deployments use Alluxio with Apache Spark, and some of them scale out to over PB’s of data. Alluxio can enable Spark to be even more effective, in both on-premise deployments and public cloud deployments. Alluxio bridges Spark applications with various storage systems and further accelerates data intensive applications. In this talk, we briefly introduce Alluxio, and present different ways how Alluxio can help Spark jobs. We discuss best practices of using Alluxio with Spark, including RDDs and DataFrames, as well as on-premise deployments and public cloud deployments.

Apache Spark Pipelines in the Cloud with Alluxio

Spark Summit Europe 2017 *

In this talk, we discuss how Alluxio can be deployed and used with a Spark data processing pipeline in the cloud. We show how pipeline stages can share data with Alluxio memory for improved performance benefits, and how Alluxio can improves completion times and reduces performance variability for Spark pipelines in the cloud.