In this webinar, Adit will present this new approach of bringing data locality to data-intensive compute workloads in Kubernetes environments, and demo how to setup and run Apache Spark and Alluxio in Kubernetes.
How to set up EMR Spark and Hive with Alluxio so jobs can seamlessly read from and write to your S3 data lake.
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.
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.
In this tech talk, the Intel and Alluxio teams will present a proposed reference architecture using Alluxio as the in-memory accelerator for object stores to enable modern analytical workloads such as Spark, Presto, Tensorflow, and Hive.
Register for this tech talk to learn how to run EMR Spark on Alluxio as a distributed file system cache for S3.
Enterprises are increasingly looking towards object stores to power their big data & machine learning workloads in a cost-effective way. The combination of SwiftStack and Alluxio together, enables users to seamlessly move towards a disaggregated architecture.
Alluxio 2.0 is the most ambitious platform upgrade since the inception of Alluxio with greatly expanded capabilities to empower users to run analytics and AI workloads on private, public or hybrid cloud infrastructures leveraging valuable data wherever it might be stored. This preview release, now available for download, includes many advancements that will allow users to push the limits of their data-workloads in the cloud.
In this tech talk, we will introduce the Starburst Presto, Alluxio, and Cloud object store stack for building a highly-concurrent and low-latency analytics platform. This stack provides a strong solution to run fast SQL across multiple storage systems including HDFS, S3 and others in public cloud, hybrid cloud and multi cloud environments.