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" ... An alternate path begins with a schemaless database approach, allowing raw, granular data to be ingested at speed without requiring complex upfront ETL work. However, the data obviously requires some kind of order if data types are going to be transparent (and usable) for data scientists. So how do you balance these opposing requirements? ... "
" ... There are no restrictions on the data that HDFS stores. Data may be unstructured and schemaless. By contrast, relational databases require that data be structured and schemas be defined before storing the data. With HDFS, making sense of the data is the responsibility of the developer's code. ... "