JD.com is China’s largest online retailer. It uses Alluxio to provide support for ad hoc and real-time stream computing, using Alluxio-compatible HDFS URLs and Alluxio as a pluggable optimization component.
Slides from our latest talks
The DBS team was tasked to solve their compute capacity problem. They wanted to provide faster insights and analyze data for a range of use cases but didn’t have the ability to scale compute elastically on-prem.
One use case that challenged them was customer call analysis. With the millions of customer calls they get every year, DBS manages over 50TB of customer data and audio files. This data needed to reside on-prem for compliance reasons. With on-prem compute limitations, they looked to the public cloud to analyze this data and selected “zero-copy” bursting as the best approach.
In this talk, HY discussed the key challenges and trends impacting data engineering, and explores the concept of Data Orchestration.
This session talks about challenges associated with querying diverse data sources at Walmart and how those are tackled using Presto & Alluxio.
In this talk, we share our lessons in building and rebuilding our monitoring systems and data platforms at Electronic Arts (EA).
Best use cases for Presto from the Data Engineer’s perspective. Also hear about recent Presto advancements such as Cost-Based Optimizer, Kubernetes-native deployment and the project roadmap going forward.
Alluxio core maintainers and founding engineers share the latest innovations in Alluxio 2.
Get started with Presto and Alluxio – Hands-on experience launching the EC2 instance, explore the Alluxio filesystem and cluster status, and run queries with Presto on Alluxio
The whole Ryte-Platform is built with a scalable architecture to support our heavy load and make it possible for our customers to drill-down from a high-level overview into the last byte of their websites.