Internet security firm Symantec has introduced new add-on application to its Cluster File System, Symantec Enterprise Solution for Hadoop which will enable customers to run Big Data analytics on their existing infrastructure.
Symantec’s Cluster File System is an enterprise application to address Big Data workloads.
The new Symantec Enterprise Solution for Hadoop works closely with Hortonworks to offer a scalable data management application to handle Big Data workloads to make Apache Hadoop ready for deployment in enterprises.
Hortonworks Business Development vice president Mitch Ferguson said it partners with Symantec to provide customers with enhanced business analytics without having to rebuild their IT infrastructure.
"The Hortonworks Data Platform is built upon the most stable version of Apache Hadoop and Symantec provides the market leading storage management and high availability software with their Cluster File System to enable seamless implementation,"Ferguson said.
Symantec Enterprise Solution for Hadoop will enable organisations to leverage their existing infrastructure by scaling up to 16 PB of data including structured and unstructured data.
It also helps organisations avoid over provisioning on both storage and compute capacity, run analytics wherever the data sits, eliminating expensive data moves and ake Hadoop available without failure or a performance bottleneck.
Symantec Enterprise Solution for Hadoop enables customers to run Hadoop while minimising investments in a parallel infrastructure.
In addition, the new application allows administrators to leave the data where it resides and run analytics on it without having to extract, transform and load it to a separate cluster.
It also provides file system high availability to the metadata server while also ensuring analytics applications continue to run as long as there is at least one working node in the cluster.
Symantec Storage and Availability Management Group Product Management vice president Don Angspatt said the Enterprise Solution for Hadoop helps connect Hadoop’s business analytics to the existing storage environment while addressing key challenges of server sprawl and high availability for critical applications.
"It’s now entirely possible to get the Big Data solution you want from the infrastructure you’ve got," Angspatt said.