Which data types are best suited for ingestion into a Data Lake environment due to their raw nature?
Answer
Imaging (DICOM), Genomics, Unstructured Text
The data lake architecture excels at ingesting and storing data types that are voluminous, complex, or inherently unstructured, maintaining their original fidelity. The text explicitly lists examples highly relevant to healthcare and biopharma that benefit from this raw storage capability. These include imaging files (such as DICOM formats), complex genomic sequences derived from high-throughput sequencing, and unstructured text notes. These types contrast with the structured, summarized data that is better suited for a traditional data warehouse where pre-modeling is mandatory.
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