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asgs114894yMapreduce is a little old to learn now, though it is an interesting paradigm
What data are you planning to crunch? -
asgs114894y@buch you can get a good amount of twitter tweets and derive aggregations
1. What are the topic handles used for a given period of time in a given country or some specific area
2. What are the most used swear words and their frequency? You can use some online dictionary like urban dictionary
3. Distribution of tweets hourly wise across the world
4. How many followers retweet and non-followers retweet for the top N top tweeters by country or a specific area
You will get more once you see the data yourself
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What’s your quarantine side project? I’m learning about map reduce and might build something along those lines
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