Learn why leading companies are moving towards a decoupled compute and storage architecture, and the associated challenges and requirements. Hear about how Spark and Alluxio together can solve the challenges.
Slides from our latest talks
Vitaliy and Dipti dive into how DBS Bank built a modern big data analytics stack, leveraging an object store as persistent storage even for data-intensive workloads, and how it uses Alluxio to orchestrate data locality and data access for Spark workloads.
This online meetup shows why and how we solve some challenging technical issues, improve the speed, and reduce the costs of our AWS EMR Hadoop & Presto -Backend with Alluxio to an awesome level.
In this talk, we present: trends and challenges in the data ecosystem in cloud era; Data engineering in the cloud with data orchestration; Use cases of using tech stacks (Presto or Tensorflow) with Alluxio on S3.
Learn more about Bazaarvoice’s use case leveraging Apache Spark, Hive, and Alluxio on S3. Along with how to set up Hive with Alluxio so that Hive jobs can seamlessly read from/write to S3.
Haoyuan Li offers an overview of a data orchestration layer that provides a unified data access and caching layer for single cloud, hybrid, and multicloud deployments.
In this online presentation, we present how ING is leveraging Presto (interactive query), Alluxio (data orchestration & acceleration), S3 (massive storage), and DC/OS (container orchestration) to build and operate our modern Security Analytics & Machine Learning platform. We will share the challenges we encountered and how we solved them.
This tech talk gives shows how to set up EMR Spark and Hive with Alluxio to seamlessly read/write to your S3 data lake, along with performance benefits.
360 & Alluxio joint meetup in Beijing covers topics on distributed storage and Alluxio application practice.