Modernizing Hadoop with VAST and Acceldata
Abstract:
On this Data Forward episode, Jason Russler of VAST Data and Ramon Chen of Acceldata discuss how enterprises can finally modernize their legacy Hadoop environments, cutting costs dramatically while positioning their data infrastructure for the AI era.
Listeners will learn:
How swapping HDFS for the VAST AI OS with S3A-compatible object storage eliminates 3× replication overhead and shrinks storage footprints by up to 8× — without sacrificing performance
Why stable workloads like Spark ETL are moving back on-premises as cloud bills soar, and how private AI environments deliver both cost savings and data sovereignty
How Acceldata's observability tooling surfaces hidden cluster inefficiencies, turning existing hardware into found money before any new infrastructure spend
On this Data Forward episode, Jason Russler of VAST Data and Ramon Chen of Acceldata discuss how enterprises can finally modernize their legacy Hadoop environments, cutting costs dramatically while positioning their data infrastructure for the AI era.
Listeners will learn:
How swapping HDFS for the VAST AI OS with S3A-compatible object storage eliminates 3× replication overhead and shrinks storage footprints by up to 8× — without sacrificing performance
Why stable workloads like Spark ETL are moving back on-premises as cloud bills soar, and how private AI environments deliver both cost savings and data sovereignty
How Acceldata's observability tooling surfaces hidden cluster inefficiencies, turning existing hardware into found money before any new infrastructure spend
