• Akshay Sadalgekar
• Pranit Prabhakaran
• Shubham Verma
• Keerti Kharatmol

Geosocial network data provides information on latest trends in human, their day to day life and incidents all around humans. Hence, Geosocial Network data can be served as an asset to make real-time decisions and future planning by analyzing geosocial media posts. In this paper, we proposed an efficient system for Geosocial Networking and location information of users. A system is proposed to analyze huge amount of data from users’ trend and geological events. However, there are millions of geosocial networks who generate terabytes of heterogeneous data with a variety of information day with high speed, termed as Big Data. System architecture is proposed that is capable of processing large amount of data collected from social networks to analyze and monitor Geosocial events to make decisions and draw up a plan for future. The system site Spark at the top for speeding up Hadoop computational computing process and for real time analysis. In this system we analyze Twitter for understanding and identify geosocial events. The system is capable of analyzing huge amount of real time geosocial data.

geosocial network, high speed, heterogeneous data, big data, real time analysis, Hadoop computation computing process and geosocial data.

"BIG DATA ANALYTICS OF GEOSOCIAL MEDIA FOR PLANNING AND REAL TIME DECISIONS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.175-177, April-2019, Available :http://www.jetir.org/papers/JETIR1904525.pdf

"BIG DATA ANALYTICS OF GEOSOCIAL MEDIA FOR PLANNING AND REAL TIME DECISIONS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp175-177, April-2019, Available at : http://www.jetir.org/papers/JETIR1904525.pdf