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 In this project you might apply your information dngineering and facts Examination expertise to amass server log facts, preprocess the info, and retailer it into trustworthy dispersed storage HDFS using the dataflow administration framework Apache NiFi. This facts engineering project requires cleaning and reworking details working with Apache Spark to glean insights into what routines are going on over the server, including the most Repeated hosts hitting the server and which region or city triggers probably the most network targeted visitors with server.

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The actual-time facts might be processed utilizing Spark structured streaming API and analyzed using Spark MLib to find the sentiment of every tweet. MongoDB shops the processed and aggregated outcomes. These final results are then visualized in interactive dashboards utilizing Python's Plotly and Sprint libraries.

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