Moving and processing data is happening 24/7/365 world-wide at massive scales that only get larger by the hour. Tools exist to introduce efficiencies in how data can be extracted from sources, transformed through calculations, and loaded into target data repositories. However, on their own, these tools can introduce some restrictions in the processing, especially for the needs of data analytics and data science.
Originally from KDnuggets https://ift.tt/3vBZuw4
source https://365datascience.weebly.com/the-best-data-science-blog-2020/introducing-dbt-the-etl-and-elt-disrupter
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