HDFS is a scalable, open source solution for storing and processing large volumes of data. HDFS has been proven to be reliable and efficient across many modern data centers. HDFS utilizes commodity ...

# on HIVE, IMPALA, Spark DataFrame tables and views using R and # Spark SQL syntax. Many familiar R functions are overloaded and # translate R functions into SQL for in-Data Lake execution. # In this ...

After getting the HDFS API working in the IDE it was time to move on to getting the famous Word Count map-reduce tutorial running. So coded it, set the main program to the word count main as the one ...

As the volume and variety of data has risen, it has become more common to store the data in disparate and diverse data sources. A challenge many organizations face today is how to gain insights from ...

Abstract: Cluster-based distributed file systems generally have a single master to service clients and manage the namespace. Although simple and efficient, that design compromises availability, ...

Abstract: Apache's Hadoop 1 as of now is pretty good but there are scopes of extensions and enhancements. A large number of improvements are proposed to Hadoop which is an open source implementation ...