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      Architecting Data and Machine Learning Platforms

      Architecting Data and Machine Learning Platforms

      Enable Analytics and Ai-Driven Innovation in the Cloud
      Marco Tranquillin, Valliappa Lakshmanan, Firat Tekiner
      0.0 / 10 ( 0 votes)
      Categories:
      Algorithmics, computer science
      Language:
      Engleza
      Publishing Date:
      2023
      Publisher:
      Cover Type:
      Paperback
      Page Count:
      300
      ISBN:
      9781098151614
      Dimensions: l: 17.8cm | H: 23.3cm
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      Price applicable only to online purchases!
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      Publisher's Synopsis
      This handbook is ideal for learning how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, or multicloud tools like Fivetran, dbt, Snowflake, and Databricks.
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