Linux tabanlı hafif ve açık kaynak kodlu büyük veri dağıtımı gerçeklemesi

The thesis covers the proper installation, configuration and optimization processes of the big data architectures for Linux operating system. The operating system that we will take as a core and customize is based on MILIS Operating System which is currently supported by Akdeniz University Scientific Research Projects Coordination Unit (BAP). Data platform and file system that is planned to be used in this project is well known and widely adapted Apache Hadoop. Apache Hadoop platform enables large volumes of data to be distributed across cluster of computer and disks with a basic programming framework. On top of Apache Hadoop, community-run data processing, security, access management, performance monitoring and other utility software is installed. In order to produce a stable Big Data processing software and distribution, a system should be put in place that includes the latest and compatible versions of the software packages to be assembled together. Development and automation of such software selection process and verification through unit tests is part of this research. In this research, a system image that contains the widely used big data modules is prepared for installation on virtual/physical disks.