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MapReduce is a Hadoop framework used to write applications that can process large amounts of data in large volumes.
In this article, you will learn about Apache Hive and its advantages and benefits in the world of big data.
In this article we will be learning in depth about the introduction to hadoop architecture and its components.
In this article we will be working on the Apache spark vs. Hadoop mapreduce with the top 7 differences in the future.
Apache Hadoop YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics.
In this article, we are going to briefly discuss tools that help store and maintain the Hadoop ecosystem for big data.
Map Reduce example is a Hadoop framework and programming model for processing big data using automatic parallelization and distribution.
Apache Flume is an excellent data ingestion tool fit for aggregating, storing, and analyzing the data with Hadoop.
In this article, you will learn the basic commands of the Apache Hadoop's HDFS to store and manage the metadata.
In this article, we will learn about apache oozie which enables more advanced scheduling and work management.
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