MapR’s innovations have also expanded the use cases that are possible with Hadoop. Not only do we support the full Hadoop API set. MapR provides support for NFS so any file-based application can access the cluster with no changes or rewrites required. MapR provides ODBC support, so any database application or SQL-based tool can access and manipulate data in a MapR cluster. MapR supports real-time streaming access. This greatly expands the applications that are possible with Hadoop moving beyond a batch limitation. Finally, the full HA, DR and data protection capabilities of MapR allow mission critical apps to be deployed safely and allows administrators to meet stringent SLA targets.
Because only MapR can reliably run both operational and analytical applications on one platform/cluster, MapR enables a faster closed-loop process between operational applications and analytics. This means:interactive marketers and algorithms can update the rules engines more quickly and provide more real-time targeting of offers and relevant content to consumersFraud models are kept more up to date with the latest patterns to better detect anomalies and take action more quickly on bad actors
Transcript of "Using Hadoop to Offload Data Warehouse Processing and More - Brad Anserson"