StopFire is a campaign started by Monash University to

StopFire is a campaign started by Monash University to

StopFire is a campaign started by Monash University to predict and stop the fire inVictorian cities. They have employed sensors in different cities of Victoria and havecollected a large amount of data. The data is so big that their techniques have failed toprovide the results on time to predict fire. They have hired us as the data analyst tomigrate their data to the NoSQL database (MongoDB). They want us to analyse their dataand provide them with results. In addition, they want us to build an application, acomplete setup from streaming to storing and analyzing the data for them using ApacheKafka, Apache Spark Streaming and MongoDB.What you are provided with? Five datasets:? hotspot_historic.csv? climate_historic.csv? hotspot_AQUA_streaming.csv? hotspot_TERRA_streaming.csv? climate_streaming.csv? These files are available in Moodle in the Assessment section in Assignment Datafolder.Information on DatasetClimate data is recorded on a daily basis whereas Fire data is recorded based on theoccurrence of a fire on a particular day. Therefore, for one climate data, there can be zeroor many fire data.The data is NOT row per weather station basis. You can simply think of it as, Station 1 wasreporting data for X number of days and then Station 2 started reporting data becauseStation 1 was shut down for instance.

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