Compute

INTRODUCTION The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using...

INTRODUCTION Apache Hadoop is an open source software framework for storage and large scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global...

INTRODUCTION Apache Spark is an open source parallel processing framework that enables users to run large-scale data analytics applications across clustered computers. BASICS Apache Spark can process data from a variety of data repositories, including the Hadoop...

INTRODUCCION Hive, Impala and Spark SQL all fit into the SQL-on-Hadoop category. Apache Hive and Spark are both top level Apache projects. Impala is developed by Cloudera and shipped by Cloudera, MapR, Oracle and Amazon....

Although Hive is popular in Hadoop world, it has its own drawback, like excessive Map/Reduce operations for certain queries and JVM overhead during Map/Reduce. Impala is designed to improve the query performance accessing data...