When it comes to replicating your Harvest data to Google BigQuery, conventional ETL is no longer the only game in town. Writing ETL code requires significant investments of time and expertise; this is precisely why some data people semi-affectionately abbreviate it as “Extremely Tough to Load”. This post summarizes how to extract the data from Harvest and load it into Google BigQuery using MuleSoft.
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