Analyzing Geographical Events Map Reduce
-
2018-07-04 https://doi.org/10.14419/ijet.v7i3.6.14979 -
Big data, map reduce. -
Abstract
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.
Â
Â
-
References
[1] Apache, Hadoop, http://hadoop.apache.org/, 2006.
[2] Apache, Hive, http://wiki.apache.org/hadoop/Hive, 2008.
[3] Avnur R & Hellerstein JM, “Eddies: Continuously Adaptive Query Processingâ€, Proc. ACM SIGMOD Int’l Conf. Management of Data, (2000), pp.261-272.
[4] Babu S, Munagala K, Widom J & Motwani R, “Adaptive Caching for Continuous Queriesâ€, Proc. 21st Int’l Conf. Data Eng, (2005), pp.118-129.
[5] Babu S & Widom J, “Streamon: An Adaptive Engine for Stream Query Processingâ€, Proc. ACM SIGMOD Int’l Conf. Management of Data, (2004), pp.931-932.
[6] Battre D, Ewen S, Hueske F, Kao O, Markl V & Warneke D, “Nephele/Pacts: A Programming Model and Execution Framework for Web-Scale Analytical Processingâ€, Proc. First ACM Symp. Cloud Computing, (2010), pp.119-130.
[7] Borkar V, Carey M, Grover R, Onose N & Vernica R, “Hyracks: A Flexible and Extensible Foundation for Data Intensive Computingâ€, Proc. IEEE 27th Int’l Conf. Data Eng. (ICDE), (2011).
[8] Brin S & Page L, “The Anatomy of a Large-Scale Hypertextual Web Search Engineâ€, Computer Networks and ISDN Systems, Vol.30, (1998), pp.107-117.
[9] Bu Y, Howe B, Balazinska M & Ernst M, “Haloop: Efficient Iterative Data Processing on Large Clustersâ€, Proc. VLDB Endowment, Vol.3, No.1/2, (2010), pp.285-296.
[10] Chaiken R, Jenkins B, Larson P, Ramsey B, Shakib D, Weaver S & Zhou J, “Scope: Easy and Efficient Parallel Processing of Massive Data Setsâ€, Proc. VLDB Endowment, Vol.1, No.2, (2008), pp.1265-1276.
-
Downloads
-
How to Cite
Anitha, G., Jyothi, K., Susmitha Valli, G., Karthik, R., & Padmaja, B. (2018). Analyzing Geographical Events Map Reduce. International Journal of Engineering & Technology, 7(3.6), 237-239. https://doi.org/10.14419/ijet.v7i3.6.14979Received date: 2018-07-02
Accepted date: 2018-07-02
Published date: 2018-07-04