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How to Store Historical Data Much More Efficiently
Sept. 10, 2023, 2:15 p.m. | Tomer Gabay
Towards Data Science - Medium towardsdatascience.com
A hands-on tutorial using PySpark to store up to only 0.01% of a DataFrame’s rows without losing any information.
data data engineering dataframe data science historical data information programming pyspark reading science software engineering technology tutorial
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