Cloudera - Datapipe


Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Datapipe in partnership with Cloudera has made the deployment of the Cloudera Distribution of Hadoop easy with 1-Button Deploy™ technology. Clusters include HDFS, Hive, Hue, Cloudera Manager, Spark, Solr, Impala, Sqoop, Zookeeper and Oozie.

Sample Production Cluster Topology

Use Cases

  • Operational Data Store – As enterprises continue to demand larger volumes of diverse data from IT, traditional architectures struggle to keep up with the demand. This causes headaches for not only the IT professional, but also the end users that need new and historic data in order to do their job. With Cloudera’s implementation of the enterprise data hub (EDH) as an Operational Data Store, modern organizations are complementing their existing architecture to alleviate current pains, while preparing themselves for future enterprise data needs.
  • Data Discovery & Analytics – With only an average of 12% of enterprise data being leveraged for analytics today, organizations need to rethink how they deploy a Data Discovery & Analytics environment in order to turn more data into value. This requires deploying a Data Discovery & Analytics solution that accelerates the data to value process by bringing more employees and their tools closer to more data. This will accelerate value creation by enabling employees to iteratively discover and interrogate known and unknown data sets faster.
  • Operational Analytics – Organizations aren’t realizing the true value of data because analytics still remains a domain of few. In order to spark a data revolution extend thinking beyond offline analysis to online operational analytics applications. By building smarter and faster analytic applications, from recommendation engines to event detection systems, people and machines receive the right information at the right time.