init+twitter stream+sentiments+join and top5
Merge branch 'master' of https://github.com/andypetrella/spark-bd
compute sentiment score by topics given via CLI and store them in files
cleaning and yahoo part added, at least the scheduling of the csv fetches and the publishing of the entries to a DStream. Now, need to really fetch the csv, parse it and then transform the DStream to match the needs
add the capability to read the yahoo finance CSV and publish quotes on the DStream. Created model for Twitter and Yahoo stocks
add notes for next step
Cleanup, external conf and better handling of yahoo data (avoid duplication due to closing hours)
* dedicated conf object for configuration stuffs
* SparkAkk object'ed and use of configuration stuffs to start
* use env var for twitter oauth inf application.conf
* yahoo actor now checks if new it's a new data that it's receiving or a already received one. In the first case, it published in the DStream
* yahoo is now aked different information in the csv -- like the changes decoupled and the validity of the tracking name

>> should now be time to unify both streams and to apply windowed computation...
test
twitter filter is way better (works) and the yahoo is now combined with twitter to form a unique stream. The score is also computed based on both information. But still the information only flushed in 5" based text files for now.