LIN | Data Science On Google Cloud Platform: Architecting Solutions (2019 EN)

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  1. Kanka

    Kanka Well-Known Member Loyal User

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    Company: Linkedin Learning
    Author: Kumaran Ponnambalam
    Full Title: Data Science On Google Cloud Platform: Architecting Solutions
    Year: 2019
    Language: English
    Genre: Educational: Cloud computing
    Skill Level: Intermediate
    Price: -
    -
    Files: MP4
    Time: 01:00:48
    Video: AVC, 1280 x 720 (1.778) at 30.000 fps, 200 kbps
    Audio: AAC at 128 Kbps, 2 channels, 48.0 KHz



    Data science is an application area that's exponentially growing, consuming huge amounts of data and making revolutionary predictions. At the same time, Google Cloud Platform (GCP) is fast tracking the cloud movement by providing cutting-edge tools and options. In this course, learn how to architect data science solutions on GCP and harness the power of these two technologies for your business. Instructor Kumaran Ponnambalam starts off by reviewing technology options available in GCP for executing various data science processes, as well as the benefits and shortcomings of this suite of cloud computing services. He then analyzes different technologies and steps through the architecture building process for various use cases, including customer analytics and real-time mobile couponing.


    Topics include:
    01. Benefits and shortcomings of GCP
    02. Enterprise and multicloud integrations
    03. Comparing GCP technology options
    04. Outlining solutions for various problems
    05. Analyzing use cases and best fits


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