A correctly setup Hadoop cluster can analyze a human genome in hours, while a poorly optimized one will take days and use twice as many nodes. Although Hadoop is a free product, potential issues are many. Even a slight error in your algorithm can introduce significant inaccuracies into end results. Other common pitfalls include the peculiarities of different OS’s and distributions, problems with assembling clusters, virtualization, etc.
By utilizing Cloudera Distribution Including Apache Hadoop (CDH), you will be able to speed up data processing and reach your big data objectives, relying on the 100% open-source enterprise-grade solution. CDH eliminates vulnerabilities of the open-source Apache Hadoop and provides stability and reliability crucial for production deployments. In addition to Apache Hadoop, Cloudera’s distribution contains solutions for batch processing (MapReduce, Hive, Pig), massively parallel SQL querying (Impala), machine learning (Spark, Mahout), stream processing (Spark), etc. to satisfy all of your big data project requirements.
CDH features YARN, a new cluster management system, that will enable you to run multiple applications simultaneously. Cloudera’s Hadoop can be easily integrated with solutions from such industry leaders, such as Oracle, Dell, HP, Cisco, NetApp, Tableau, SAP, etc. to run large-scale data-intensive applications.