In today’s data-driven world, organizations are inundated with vast amounts of data every day. To make informed decisions and derive valuable insights, effectively storing and processing this data becomes crucial. Two popular architectures for managing large volumes of data are data lakes and data warehouses. Each has its unique characteristics, advantages, and limitations.