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 discuss why leading enterprises are adopting hybrid cloud architectures with compute and storage disaggregated, the new challenges that this new paradigm introduces, and the unified data solution Alluxio provides for hybrid environments.
Bay Area Meetup 2018 – Alluxio is the data orchestration layer between storage and compute, bringing your data closer to your Presto workloads for better performance on top of S3.
Tags: architecture, cloud, compute storage separation, meetup, presto, sql
The cloud is rapidly becoming ubiquitous, with continued adoption focused on the flexibility and cost benefits of a utility infrastructure model. Enterprises are increasingly taking a “data first” view of infra- structure, which demands a new way of thinking in a world in which data is stored and accessed from multiple locations and providers. Performance and interoperability challenges, however, can present obstacles to cloud adoption and complicate data management. Techniques such as the use of data silos, ETL processes and multiple data copies, which are commonly employed to accommodate cloud limitations, often tend to offset the expected benefits of cloud infrastructure. Alluxio offers a new way to enhance the benefits of cloud infra- structure without the performance limitations or interoperability challenges resulting from accessing disparate data sources in multiple, often remote, locations.
Tags: architecture, beginner, case study, cloud, compute storage separation
Learn more about Alluxio use cases in Suning, Kyligence, Didi, JD.com, and Tencent presented in Chinese.
Tags: analytics, big data, cloud, performance, storage
We briefly introduce Alluxio and present different ways Alluxio can help Spark jobs, along with best practices. We also discuss how Alluxio can be deployed and used with a Spark data processing pipeline in the cloud.
Tags: alluxio engineering, apache spark, architecture, aws s3, cloud, cloud storage, conference, developer tips, hybrid cloud, machine learning, rdd
Lucene/SOLR Revolution 2017 – Timothy Potter, Lucidworks introduces Alluxio, the fastest growing open source project in the big data ecosystem, and shows how to leverage it for optimizing Solr performance. Basic integration scenarios and performance comparisons are also presented.
Tags: analytics, big data, cloud, data, hdfs, performance, spark
Spark Summit SF 2017 – We briefly introduce Alluxio and present different ways Alluxio can help Spark jobs, along with best practices. We also discuss how Alluxio can be deployed and used with a Spark data processing pipeline in the cloud.
Tags: alluxio engineering, apache spark, aws, aws s3, cloud, cloud storage, conference, machine learning, spark
VAULT Conference 2017 – Haoyuan Li, CEO of Alluxio (formerly Tachyon), presents a keynote on the San Mateo-based startup’s journey thus far and the road ahead.
Tags: analytics, apache spark, big data, cloud, conference, storage, unified namespace