Advancements in storage options for deploying data-aware apps at scale

Description

As organizations look to broadly adopt containers for their compute, some workloads, such as big data and ETL jobs, need to fetch existing data, perform processing, and store this processed data for downstream use. To maximize compute efficiency, these workloads require storage that supports high transaction volumes and throughput. In this session, take a deep look at running data processing and storage-intensive workloads at scale without needing to worry about managing the underlying storage.