UC Berkeley published their Course Lectures: Analyzing Big Data With Twitter. Bit older but still very good - published and available for free. Over 15+ hours of video lectures. These lecture notes simply summarized the course at a high level.
Lectures include Twitter’s Vice President and various employees, Hadoop contributor, Splunk employee and more. e.g for Spark - next thing for Hadoop / MapReduce - Matei Zaharia, a PhD student in UC Berkeley’s AMP Lab, gave us a terrific lecture about how it works and what’s coming next.
If you’d like to know how Twitter computes its Trending Topic - Kostas Tsioutsiouliklis (@kostas) shared some of the secrets with the class. He also talked about MinHash algorithms.
There are also assignments for students added and best of them selected with supporting documentation. Teriffic.
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