Analysing high-volume real-time data streams as they occur in social media analysis (for example, streams of Twitter messages) poses special challenges. We will report on our experiences at TWIMPACT with current approaches to scalability including NoSQL, stream processing, and stream mining and highlight the strengths and weaknesses of the individual approaches.
Mikio L. Braun is an expert in machine learning and data analysis for more than 12 years. He received a Ph.D. in Computer Science from the University of Bonn and worked on a number of projects ranging from bioinformatics to social media analysis. He is currently a PostDoc at TU Berlin and co-founder of TWIMPACT, focussing on real-time analysis of data streams.
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