What role do data lakes play in optimizing traffic and storage across complex network systems?
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Data lakes play a crucial role in optimizing traffic and storage across complex network systems by providing a centralized repository for storing a vast amount of structured and unstructured data. They enable organizations to collect, store, and analyze data from various sources in its raw format, allowing for easier data discovery, access, and processing. Data lakes help improve traffic optimization by facilitating the efficient flow of data between different systems and applications, reducing data silos and improving data accessibility. Moreover, by leveraging advanced analytics and machine learning algorithms on data lakes, organizations can gain valuable insights and make informed decisions to optimize their network systems efficiently.