7 Sampling from data streams
This chapter covers
- Sampling from an infinite landmark stream
- Incorporating recency by using a sliding window and how to sample from it
- Showcasing the difference between a representative and biased sampling strategy on a landmark stream with a sudden shift
- Exploring R and Python packages and libraries for writing and executing tasks on data streams
We are ready to fully appreciate sampling as a single task staged in the analysis tier. Although we have already shown that this division of the streaming data architecture is not so clear-cut, we will imagine the stream processor sampling the incoming stream in this tier. This will help to introduce the sampling algorithm without any additional complexity coming from ...
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