As linked below, I've played around a bit with this dataset: https://www.reddit.com/r/dataisbeautiful/comments/3cjyvb/rel... BigQuery is the best interface for it. Can resolve queries on the entire dataset in less than a few seconds (however, you only get 1TB processing free per month. Since the full dataset is ~285GB, you only get 4 queries per month. Plan ahead on the May 2015 dataset, which is only 8GB.) I can ans…
> Since the full dataset is ~285GB, you only get 4 queries per month. That's only true if your 4 queries need to read every single column. One of the big advantages of BigQuery's column-oriented storage is that you only pay to read the columns that are actually needed to answer your query. For example, this query to extract the top 10 authors only cost me 19GB to run (and took 7.0s): SELECT author, COUNT(*) AS COUNT…
Although if you're doing analysis on the body column itself, it'll use the majority proportion of the data set, of course.