Abstract: Nowadays, in some areas, data growth has reached the point where a single relational database is not enough. This big data phenomenon has first time appeared in areas like meteorology, sensor data analytics, Internet search, biological research, genomics, finance, and many more. The effective use of distributed resources in clusters or data warehouses depends on the selection of appropriate data format and best algorithms. The subject of this research is a methodology and approaches for optimal use of the resources of a distributed system for processing Big Data from sensor measurements.
Key words: Big Data, Hadoop, HDFS, Sensor Fusion