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Last Post 18 Nov 2022 01:04 PM by  Patrick Ng
Working with Diverse Data Collections in Action
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Patrick Ng
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18 Nov 2022 01:04 PM
    More transparency, more granular and more ...

    Follow up to prior post on working with data of different categories:
    https://www.aapg.org/care...net/activity/aft/610

    As an example, here is a data app: https://shaleforce-aapg-p...APG_Majors_Portfolio


    that brings to life, industry players mentioned in the Explorer September 2022
    https://explorer.aapg.org...in-an-energy-crisis?

    It illustrates what we shall strive for - zero downtime data to analysis, as a community.

    Be that time series, production data and other data categories, the problem-solving execution challenge remains - how we connect data to app without moving a single byte. Different cloud technology players are working to crack that problem, and one stands out is Snowflake.

    https://github.com/Snowfl...for-python-streamlit

    Observation - with the acquisition of Streamlit plus its new Python and Snowpark connector, it makes tying together data, analysis and cloud deployment doable without in-house heavy weight IT engineering team and vendor lockin.

    Feel free to share you cloud data to analysis experience and lesson learned.

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