Why Data Orchestration?

Today’s current pace of innovation is hindered by the necessity of reinventing the wheel in order for applications to efficiently access data. When an engineer or scientist wants to write an application to solve a problem, he or she needs to spend significant effort on getting the application to access the data efficiently and effectively, rather than focusing on the algorithms and the application’s logic.

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Data Orchestration Summit 2019

Alluxio Conference *

Announcing the first Data Orchestration Summit in November 2019! This Summit brings together data engineers, cloud engineers, data scientists, and industry thought leaders who are solving data problems at the intersection of cloud, AI, and data.

Accelerating Spark with Kubernetes

Alluxio Tech Talk *

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.

Accelerating Write-intensive Data Workloads on AWS S3

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.

NetEase and Alluxio joint meetup

Hangzhou Meetup *

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.

Efficient Data Engineering with Apache Spark, Hive, and Alluxio on S3

Alluxio Meetup | Austin *

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!