Cloudera’s open-source Apache Hadoop distribution targets enterprise-class deployments of that technology. Cloudera’s enterprise data hub (EDH) software platform empowers organizations to store, process, and analyze massive enterprise data for business intelligence in a flexible, efficient, and cost-effective approach.
mLogica’s Cloudera services practice focuses on Hadoop based technologies, including, but not limited to, Hive, HBase, Solr, HDFS, Hue, Impala, Apache Drill, MapReduce, MapR, and Hadoop machine learning with Mahout learning algorithms. We combine our deep expertise and experience in building search-enabled big data applications with Cloudera’s Hadoop distribution (CHD) to deliver enterprise-class big data platforms.
Our Big Data Architect teams have developed Hadoop MapReduce chaining in Java Programs and deployment using Cloudera Enterprise; wrote HDFS and MapReduce programs for Hadoop clusters with near hundreds of nodes, used Solr for search, and Cloudera environments for deployment and monitoring of clusters; worked on clustered Hadoop environments for Windows Azure using HDInsight and HortonWorks Data Platform for Windows; and wrote, deployed and monitored dozens of Hadoop clusters using HDFS, MapReduce, Spark Streaming, and Cloudera Enterprise.