Nils Braun

Python Enthusiast and Data Engineer

Nils Braun

tsfresh on Large Data Samples - Part II

In the last post we have explored how tsfresh automatically extracts many time series features from your input data. We have also discussed two possibilities to speed up your feature extraction calculation: using multiple cores on your local machine (which is already tuned on by default) or distributing the calculation over a cluster of machines.

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Lambda IV: Use the Power of Lambda

In my last post in this series, we have developed all the building blogs for our data science application - we only miss the parallelisation setup.

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Lambda III: Data Science with Amazon Lambda

After we have done the basic setup in the last post we are now ready to add some real data science application and fully use the parallelisation of Lambda. We will write a very simple map-framework for this.

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