Gain insights by combining all your data with Hadoop integration
Hadoop provides performance enhancements that enable high output access to application data and also handles streaming access to file system resources, which are increasingly challenging when attempting to manipulate larger data sets.
We work with a variety of data types through a single, powerful point of access. Our Hadoop implementation includes identification of data sources, planning for ingestion of the data and database schema design etc. We utilise Hadoop’s ability to store and process huge amounts of data.
We walk you through the entire life cycle of Hadoop implementation that includes identifying the data sources, plan for ingesting the data, design of the database schema, design of the MapReduce / YARN as applicable, Installed and Configured Hadoop monitoring tools like Ganglia, Nagios, Ambari, Cloud era Manager, setting up of Hadoop Eco-system components like Pig, Hive, Hbase, Sqoop, Map reduce, Yarn, Zookeeper, Oozie, Flume, maintain the clusters, design backup strategy.
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