How T3Go’s high-performance data lake using Apache Hudi and Alluxio shortened the time for data ingestion into the lake by up to a factor of 2. Data analysts using Presto, Hudi, and Alluxio in conjunction to query data on the lake saw queries speed up by 10 times faster.
Category: <span>Developer and Engineering</span>
We’re pleased to announce the general availability of Alluxio Data Orchestration Hub, your single pane of glass to orchestrate data for analytics and AI. The data ecosystem is complex with the separation of storage and compute across data centers and cloud providers. With this release we’ve made great strides towards simplifying data access and management across multiple environments.
When applications are only reading and writing through Alluxio, the Alluxio file system provides strong consistency. However, when clients are writing data across both Alluxio and under storage, the consistency depends on the Alluxio write type and under storage type. This article discusses what to expect in each scenario.
Alluxio 2.4.0 focuses on features critical to large scale, production deployments in Cloud and Hybrid Cloud environments. Enterprises leverage Alluxio at enormous scale in many dimensions, including number of files, total volume of data, requests per second, and number of concurrent clients.
This blog explores an innovative platform with Presto as the computing engine and Alluxio as a data orchestration layer between Presto and S3 storage, to support online services with instantaneous response within the gaming industry. The preliminary results show that Presto with Alluxio outperforms S3 significantly in all cases.Alluxio with metadata caching shows up to 5.9x performance gain when handling large numbers of small files.
This article described how engineers at datasapiens brought down S3 API costs by 200x by implementing Alluxio as a data orchestration layer between S3 and Presto.
As the third largest e-commerce site in China, Vipshop processes large amounts of data collected daily to generate targeted advertisements for its consumers. In this article, Gang Deng from Vipshop describes how to meet SLAs by improving struggling Spark jobs on HDFS by up to 30x, and optimize hot data access with Alluxio to create … Continued
Migrating SQL workloads from a fully on-premise environment to cloud infrastructure has numerous benefits, including alleviating resource contention and reducing costs by paying for computation resources on an on-demand basis. In the case of Presto running on data stored in HDFS, the separation of compute in the cloud and storage on-premises is apparent since Presto’s … Continued
Alluxio 2.3.0 focuses on streamlining the user experience in hybrid cloud deployments where Alluxio is deployed with compute in the cloud to access data on-prem. Features such as environment validation tools and concurrent metadata synchronization greatly improve Alluxio’s functionality. Integrations with AWS EMR, Google Dataproc, K8s, and AWS Glue make Alluxio easy to use in a variety of cloud environments. In this article, we will share some of the highlights of the release. For more, please visit our release notes page.