Why every Data Scientist should use Dask?
2021 Update: If you are looking for a quick way to run Dask, please try SaturnCloud which even offers a free plan. Dask is simply the most revolutionary tool for data processing that I have encountered. If you love Pandas and Numpy but were sometimes struggling with data that would not fit into RAM then Dask is definitely what you need. Dask supports the Pandas dataframe and Numpy array data struc
Four fails and a win at a big data stack for realtime analytics
Building a user-friendly app to analyze big data in real time (that is, keeping response times below 60 seconds) is a challenge. In the big data world, you’re either doing batch analytics where nobody really cares about query time (most businesses); or you’re doing streaming (Uber, Facebook and kin) where query time is critical, but data is only big on aggregate — each user only sees or uses a tin
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Comparison to Spark — Dask documentation
