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The real-time knowledge are going to be processed using Spark structured streaming API and analyzed employing Spark MLib to find the sentiment of each tweet. MongoDB suppliers the processed and aggregated success. These results are then visualized in interactive dashboards employing Python's Plotly and Sprint libraries.
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The info pipeline for this data engineering project has five stages - facts ingestion, NiFi GetTwitter processor that receives serious-time tweets from Twitter and ingests them right into a messaging queue. Selection occurs within the Kafka subject matter.
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