Hadoop Big Data installation and sample application

Hello,

I wanted to share my master’s thesis with you. You can see in detail how big data processing works with the Hadoop architecture (Big Data), how the installation stages and configurations are done, and what the MapReduce process is.

ABSTRACT

Today, data coming from many points is combined to form very large masses. In this case, performing the analysis can become difficult. To address this problem, structures called distributed systems that enable resource sharing have begun to be used. These systems are preferred for scalable, secure, fast, and stable analysis of big data. Apache Hadoop is one of the software used in distributed systems. This software was developed on the Google File System infrastructure and enabled data processing by using the map-reduce (MapReduce) algorithm. In this study, general information about Hadoop is given, and the Hadoop structure is explained with a sample application.

Keywords: Hadoop, Big Data, Analysis, Mapping, Reduction, Java, Distributed systems.

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