Twitter analysis typically starts with grabbing a bunch of tweets via Twitter’s REST API. Fortunately this is easy to do with Composable Analytics. Just use the Twitter Search module, and specify a geographic location, keywords, and specify where you want the tweets to go (relational db, hadoop cluster, triple store).
Once data is feeding your data storage location, you can begin to create other analysis applications.
Lars has comprehensive expertise building large complex software systems, and has served as a Software Engineer at MIT’s Lincoln Laboratory from 2010-2014, where he began developing Composable Analytics. Prior to joining Lincoln Laboratory, Lars worked as a Software Engineer at Microsoft Corporation from 2006 to 2010. Lars received his MS in Computer Science from Georgia Institute of Technology in 2004, and his BS in Computer Science from Georgia Tech in 2003.
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Lars has comprehensive expertise building large complex software systems, and has served as a Software Engineer at MIT’s Lincoln Laboratory from 2010-2014, where he began developing Composable Analytics. Prior to joining Lincoln Laboratory, Lars worked as a Software Engineer at Microsoft Corporation from 2006 to 2010. Lars received his MS in Computer Science from Georgia Institute of Technology in 2004, and his BS in Computer Science from Georgia Tech in 2003.
Published in Analytics, Data Mining, Data Science, DataOps and Machine Learning
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