Analysis of Big Data using GeoMesa

Computer Engineering

Today the term ‘Big data’ is coming to a fact in day to day. As the rapidly growth of data become a tangibility in many areas for that finding an efficient strategy for big data challenges and objective of improvement. Big data deals with techniques to store, analyze large amount of data which is in petabyte having velocity high. Today a massive amount of geospatial data collected, visualized and used as never before. Geospatial data is the data related to geographical location, it is usually stored as coordinates and topology and it is used for mapping. Geospatial data are first analyzed with various techniques which include its geometric structure and properties. Therefore, challenge is to process and combined the data is more complex because varied data has different properties. To analyze the geospatial data visualization tools are used. The techniques which were used before for visualizing the geospatial data are not better to handle the dataset. For finding patterns in the data, visualization makes the work easier. GeoMesa is apache open source tool which enables large amount of geospatial data on distributed environment. It has GeoServer which integrates with different range of mapping. The paper shows the challenges faced in working with GeoMesa and the Data ingestion of Vector and Raster Data in GeoMesa.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.