Pure Storage, Inc.

Curtis Pullen

Ivan Jibaja

Prashant Jaikumar

Stefan Dorsett

Roy Kim

Neil Buda Vachharajani

Gaurav Jain

Srinivas Chellappa

Creating a containerized data analytics pipeline, including: creating a data analytics pipeline having a component that is deployed within a container that executes in a container cluster that is external to shared storage accessible by components of the data analytics pipeline; and responsive to detecting that a component of the data analytics pipeline has failed, deploying another instance of the component in a failover container that is configured to support one or more components of the data analytics pipeline.

Creating a containerized data analytics pipeline

Executing a big data analytics pipeline in a storage system that includes compute resources and shared storage resources, including: receiving, from a data producer, a dataset; storing, within the storage system, the dataset; allocating processing resources to an analytics application; and executing the analytics application on the processing resources, including ingesting the dataset from the storage system.

Executing a big data analytics pipeline using shared storage resources

Growing community of inventors

VICTORIA, Canada

Curtis Pullen