Data lakes are repositories where large chunks of multiple types of data are stored in their native format. Most other data platforms will only store data once it has been formatted to fit a particular structure. For example, data warehouses will only accept data once it has been structured into rows and columns, so unstructured data such as phone call transcripts typically can’t be uploaded. But data lakes ingest data in its raw form, regardless of how the data is structured, which means that a data lake can take in unstructured data like call transcripts
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