Hadoop Distributed File System (HDFS): Hadoop Distributed File System (HDFS) is the primary data storage systems usually used by the Hadoop applications. It was developed as an infrastructure for the Apache Nutch web search engine project and now it is an Apache Hadoop subproject. It includes a NameNode and DataNode architecture to implement a distributed file system that is capable of providing high-performance access to data across Hadoop clusters. MapReduce: MapReduce is the processing layer of Hadoop. It is an open source application programming interface that is designed to process large volumes of data in parallel. The MapReduce framework had two main functions, Map and Reduce. The function of the term Map is to take a job and divide into small units of work and the function of the term Reduce is to collect the output generated from different nodes and then integrating them into a single result set.

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What are the major threats of using the internet? How do you use it? How do children use it? How canwe secure it? Provide four references with your answer. Two of the refernces can be from an article and the other two from websites.

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Chapter 14, Problem 12RQ

Program Plan Intro

Hadoop Distributed File System (HDFS):

Hadoop Distributed File System (HDFS) is the primary data storage systems usually used by the Hadoop applications.

It was developed as an infrastructure for the Apache Nutch web search engine project and now it is an Apache Hadoop subproject.

It includes a NameNode and DataNode architecture to implement a distributed file system that is capable of providing high-performance access to data across Hadoop clusters.

MapReduce:

MapReduce is the processing layer of Hadoop.

It is an open source application programming interface that is designed to process large volumes of data in parallel.

The MapReduce framework had two main functions, Map and Reduce.

The function of the term Map is to take a job and divide into small units of work and the function of the term Reduce is to collect the output generated from different nodes and then integrating them into a single result set.

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