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Alluxio Blog

Kubernetes, Alluxio and the Disaggregated Analytics Stack

Kubernetes, Alluxio and the disaggregated analytics stack  TL;DR: First the news – Alluxio support for K8s Helm charts now available! K8s is a certified environment for Alluxio. Now the take away- Alluxio brings back data locality for the disaggregated analytics stack in K8s. How? Read on.  There’s no arguing the rise of containers in real-world … Continued

Data Orchestration Summit Recap and Highlights!

We are delighted by the success of the inaugural Data Orchestration Summit on Nov. 7, 2019! Organized by Alluxio, this one-day event was sold out with nearly 400 attendees! Data engineers, cloud engineers, data scientists joined the talks of 24 industry leaders from all over the globe to share their experiences building cloud-native data and … Continued

Improving Spark Memory Resource with Off-Heap In-Memory Storage

In the previous tutorial ”Getting Started with Spark Caching using Alluxio in 5 Minutes”, we demonstrated how to get started with Spark and Alluxio. To share more thoughts and experiments on how Alluxio enhances Spark workloads, this article focuses on how Alluxio helps to optimize the memory utilization of Spark applications.  For users who are … Continued

Introducing Wormhole: Dockerized Presto & Alluxio setups for blazing fast analytics

This is a guest blog by Ashwin Sinha with an original blog source. This blog introduces Wormhole— open source Dockerized solution for deploying Presto & Alluxio clusters for blazing fast analytics on file system (we use S3, GCS, OSS). When it comes to analytics, generally people are hands-on in writing SQL queries and love to analyse data which resides in a warehouse (e.g. MySQL database). But as data grows, these … Continued

Effective Analytical Pipelines on AWS Using EMR, Alluxio, and S3

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.