Data can be anywhere, and with the adoption of cloud infrastructure it’s often located remotely. Get data to the application that needs it and accelerate time to value. Speed up applications by temporarily storing data locally and avoid latency issues from remote access. Explore the resources below to learn more.

Whitepaper: Accelerating On-Demand Data Analytics with Alluxio

Learn how Alluxio accelerates applications with memory-speed data access including a step-by-step guide to deploying and on-demand cluster running a sample workload.

Whitepaper: Accelerating Data Analytics on Ceph Object Storage with Alluxio

Learn how Alluxio accelerates analytics applications on object storage located on-premise, remotely, or in the cloud.

Case Study: Baidu Accelerates Access to Remote Storage

Learn how Baidu, the largest search engine in China, overcame query performance challenges with data located in a remote data center, transforming queries from a batch process to interactive.

Case Study: Data Processing Workflow Among Multiple Shared Applications

Learn how Alluxio provides an in-memory storage layer for data, so any Spark application has straightforward access through the standard file system API as you would for HDFS. Alluxio enables transformations and explorations on large datasets in memory, while enjoying the simple integration with our existing applications.

Case Study: Managing Remote Data Across Different Storage Systems

Learn how the Alluxio unified namespace enables different applications and frameworks to easily interact with our data from different independent storage systems.