Alluxio’s first cloud, data & orchestration Austin meetup featuring talks and demos on efficient data engineering with Apache Spark, Hive and Alluxio on S3.
Learn how to set up EMR Spark with Alluxio so Spark jobs can seamlessly read from and write to S3. See the performance comparison between Spark on S3 with Spark, and Alluxio on S3.
Kubernetes is widely used across enterprises to orchestrate computation. And while Kubernetes helps improve flexibility and portability for computation in public/hybrid cloud environments across infrastructure providers, running data-intensive workloads can be challenging.
When it comes to efficiently moving data closer to Spark or Presto frameworks, co-locating data with these frameworks and accessing data from multiple or remote clouds is hard to do. That’s where Alluxio, an open source data orchestration platform, can help.
Alluxio enables data locality with your Spark and Presto workloads for faster performance and better data accessibility in Kubernetes. It also provides portability across storage providers.
In this on demand tech talk we’ll give a quick overview of Alluxio and the use cases it powers for Spark/Presto in Kubernetes. We’ll show you how to set up Alluxio and Spark/Presto to run in Kubernetes as well.
This tech talk gives a quick overview of Alluxio and the use cases it powers for Spark/Presto in Kubernetes. We also show you how to set up Alluxio and Spark/Presto to run in Kubernetes.
Alluxio is an open-source data orchestration system widely used to speed up data-intensive workloads in the cloud. Alluxio v2.0 introduced Replicated Async Write to allow users to complete writes to Alluxio file system and return quickly with high application performance, while still providing users with peace of mind that data will be persisted to the chosen under storage like S3 in the background.
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.
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.
Many organizations have taken advantage of the scalability and cost-savings of cloud computing as well as cloud storage services to meet their data-powered workload demands. In addition, as data is increasingly siloed and lives everywhere, there’s a need for data orchestration to bring the needed data closer to compute. With Alluxio’s data orchestration platform, bring back data locality for your compute with in-memory & tiered data access.