Open AccessAnalyzing Geographical Events Map Reduce
Author(s) -
G Anitha,
K Jyothi,
G Susmitha Valli,
R. Karthik,
B. Padmaja
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.6.14979
Subject(s) - computer science , process (computing) , data science , point (geometry) , volume (thermodynamics) , geography , geometry , mathematics , quantum mechanics , operating system , physics
The huge information gathers huge volume of information; it is extraordinary computational test for the huge Hadoop information to keep up and process this information and furthermore removes valuable data in a proficient way. Land occasions will occur far and wide as one of the primary worldwide risks expanding under worldwide environmental change lately. Which raise the significance of avalanche events, with the point of diminishing their results we are utilizing Guide Lesson for dissecting these occasions in various regions in like manner with period.