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DATA LAKES

pros​

  • flexibile data storage
  • streaming support
  • cost efficient in the cloud
  • support for AI / machine learniing

cons​

  • no transactional support
  • poor data reliability
  • slow analysis performance
  • data governance concerns (privacy / security)
  • data_warehouses still needed
  • lack of integration with a data catalog
  • ineffective partitioning
  • too many small files

References​