MapR Technologies, a provider of the open, enterprise-grade distribution for Apache Hadoop, announced Version 2.0 of the MapR Distribution which includes advanced monitoring, management, isolation and security for Hadoop.
The latest version enables organizations to meet the needs of multiple users, groups and applications within the same cluster.
MapR provides complete visibility into all cluster activities. Every node captures and reports node, job and task metrics.
The MapR Control System (MCS) displays this information in dozens of views, ranging from interactive historgrams to time charts, allowing administrators to filter, aggregate and drill-down on individual jobs and tasks.
All MapReduce log files are logically centralized so they can be instantly accessed, searched and analyzed. All metrics and logs are automatically compressed, sharded and replicated in MapR’s highly-available storage layer, and users can easily perform custom analytics with MapReduce, Hive, Pig or Cascading.
“Whether you’re deploying on-premise, in the cloud, or a hybrid model for disaster recovery or elastic deployments, MapR has optimized the management and performance to ensure an easy and successful deployment,” said Jack Norris, VP of Marketing, MapR Technologies. “Customers continue to benefit from MapR’s innovations providing ease of use, dependability and increased performance.”
With 2.0, MapR also provides advanced job management capabilities enabling an administrator to have complete control over the operation of the cluster, jobs and tasks. Job and data placement control ensures that data and job execution can be isolated in different areas of a cluster for performance, security or cost control. MapR now provides complete end-to-end visibility and control of hardware, software, storage, MapReduce and other components of the MapR Distribution.
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