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.
The data engineering team at Bazaarvoice, a software-as-a-service digital marketing company based in Austin, Texas, must handle data at massive Internet-scale to serve its customers. Facing challenges with scaling their storage capacity up and provisioning hardware, they turned to Alluxio’s tiered storage system and saw 10x acceleration of their Spark and Hive jobs running on AWS S3.
In this whitepaper you’ll learn:
Tags: apache hive, apache spark, aws s3, benchmark, case study, performance, tiered storage
In this article, Thai Bui from Bazaarvoice describes how Bazaarvoice leverages Alluxio to build a tiered storage architecture with AWS S3 to maximize performance and minimize operating costs on running Big Data analytics on AWS EC2.
See results of 10x performance in Spark and Hive jobs that are running on AWS S3. Plus, learn how real world user Bazaarvoice implemented a tiered storage architecture for a boost in performance.
Tags: apache spark, aws s3, case study, meetup, tiered storage
In the past year, the Alluxio project experienced significant improvement in performance and scalability and was extended with key new features including tiered storage, transparent naming, and unified namespace.
Tags: overview, performance, scale, storage, tiered storage, transparent naming
Strata Data Conference London 2017 – Learn about stream processing on Alluxio from real-world workloads at Qunar, as well as how to position Alluxio in the streaming architecture
Tags: architecture, big data, conference, data, data engineering, distributed systems, performance, storage, tiered storage, unified namespace
Global Big Data Conference 2017 – In the past year, the Alluxio project experienced significant improvement in performance and scalability and was extended with key new features including tiered storage, transparent naming, and unified namespace
Tags: alluxio engineering, apache spark, big data, compute, conference, data, data engineering, performance, scale, spark, storage, tiered storage
Strata+Hadoop 2016 – In the past year, the Alluxio project experienced a tremendous improvement in performance and scalability and was extended with key new features including tiered storage, transparent naming, and unified namespace. At the same time, the Alluxio ecosystem has expanded to include support for more under storage systems and computation frameworks.
Tags: alluxio engineering, architecture, big data, cloud, compute storage separation, conference, hadoop, performance, scale, storage, strata, tiered storage, unified namespace
Southern California Data Science Conference 2016 – In the past year, the Alluxio project experienced a tremendous improvement in performance and scalability and was extended with key new features including tiered storage, transparent naming, and unified namespace. At the same time, the Alluxio ecosystem has expanded to include support for more under storage systems and computation frameworks.
Tags: alluxio engineering, architecture, big data, cloud, compute storage separation, conference, performance, scale, storage, tiered storage, unified namespace