Find the best Python ETL tool that fits your use case. Want to Do ETL With Python?
Extraction, Transformation, and Loading
Modern organizations rely on enormous pools of data gathered using the best-in-class tools and techniques to extract data-driven insights, that help in making smarter decisions. Thanks to the improvements brought over by the now industry-standard technological advancements, organizations now have much easier access to these pools of data.
But before these corporations can actually use that data, it needs to go through a process called ETL, short for Extraction, Transformation, and Loading.
ETL is responsible for not only making the data available to these organizations but also makes sure that the data is in the right structure to be used efficiently by their business applications. Businesses today have loads of options while picking the right ETL tool, such as the ones built with Python, Java, Ruby, GO, and more but for this write-up, we’ll be focussing more on the Python-based ETL tools.
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