Data Ingestion Best Practices

Ingesting data is often the most challenging process in the ETL process. Here are six steps to ease the way PHOTO:
Randall Bruder

Data is the fuel that powers many of the enterprise’s mission-critical engines, from business intelligence to predictive analytics; data science to machine learning. To be fully useful, data, like any fuel, must be abundant, readily available and clean. The process of data ingestion — preparing data for analysis — usually includes steps called extract (taking the data from its current location), transform (cleansing and normalizing the data) and load (placing the data in a database where it can be analyzed)….

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