Running Spark with Alluxio is a popular stack particularly for hybrid environments. In this session, Dipti will briefly introduce Alluxio, share the top 10 tips for performance tuning for real-world workloads, and demo Alluxio with Spark.
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 MapReduce.
This meetup presents an overview of the motivations and design decisions behind the major changes in the Alluxio 2.0 release, and Real-time Data Processing for Sales Attribution Analysis with Alluxio, Spark and Hive at VIPShop.
Joint meetup in Hangzhou discusses: An introduction to new features of big data storage system Alluxio and optimization of cache performance, Practice & exploration of Spark & Alluxio, and the Interactive query system Impala.
Welcome to the first event of the Cloud, Data, & Orchestration Austin Meetup! This meetup will feature two talks and an opportunity to engage with other data engineers, developers, and Alluxio users. Thanks to Bazaarvoice for hosting!
We will introduce the key new features and enhancements such as: Support for hyper-scale data workloads, Machine learning and deep learning workloads, and Better storage abstraction.
Alluxio is a proud sponsor and exhibitor at the AWS Summit in New York. If you weren’t able to attend, here are the highlights
Joint hosted Alluxio New York meetup with talks to include: Embracing hybrid cloud for data-intensive analytic workloads and Alluxio on AWS EMR (fast storage access and sharing for Spark).
Today, real-time computation platform is becoming increasingly important in many organizations. In this article, we will describe how ctrip.com applies Alluxio to accelerate the Spark SQL real-time jobs and maintain the jobs’ consistency during the downtime of our internal data lake (HDFS). In addition, we leverage Alluxio as a caching layer to dramatically reduce the workload pressure on our HDFS NameNode.