See how Cloudera’s hybrid cloud approach compares to Alluxio.
How do WANdisco and Alluxio hybrid solutions stack up? Learn more.
Want to leverage your existing investments in Hadoop with your data on-premise and still benefit from the elasticity of the cloud?
Like other Hadoop users, you most likely experience very large and busy Hadoop clusters, particularly when it comes to compute capacity. Bursting HDFS data to the cloud can bring challenges – network latency impacts performance, copying data via DistCP means maintaining duplicate data, and you may have to make application changes to accomodate the use of S3.
“Zero-copy” hybrid bursting with Alluxio keeps your data on-prem and syncs data to compute in the cloud so you can expand compute capacity, particularly for ephemeral Spark jobs.
So you have a Hadoop cluster that’s running fine and then you start to hear people saying that their jobs are running slow. This answer is meant to cover common reasons for slowness and look at some solutions to this problem.
This online meetup shows why and how we solve some challenging technical issues, improve the speed, and reduce the costs of our AWS EMR Hadoop & Presto -Backend with Alluxio to an awesome level.
This tech talk will share approaches to burst data to the cloud along with
how Alluxio can enable “zero-copy” bursting of Spark workloads to cloud data services like EMR and Dataproc. Learn how DBS bank uses Alluxio to solve for limited on-prem compute capacity.
In this presentation, Ryte’s Chapter lead engineer, Danny Linden, shows why & how we solve some challenging technical issues, improve the speed, and reduce costs of our AWS EMR Hadoop & Presto -Backend with Alluxio to an awesome level!
This article describes my lessons from a previous project which moved a data pipeline originally running on a Hadoop cluster managed by my team, to AWS using EMR and S3. The goal was to leverage the elasticity of EMR to offload the operational work, as well as make S3 a data lake where different teams can easily share data across projects.
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.