Open Data Science Live Session, Ep 2

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-- PRE-CALL CHECKLIST ---
General Discovery
Researched by: Yuzuf, Humpty Calderon
About the event
  • Topic: Open Data - Building web3 native tools and dashboards
  • Event schedule: October 20, 2022 10:00 AM PDT (17:00 UTC)
  • NOTE: Joining the Twitter Spaces event will not work from desktop app. You must use the mobile app.
About our guest speaker(s)
Q&A
  • Key messages:
    • Open Data Stack
    • Open Data Community
    • Open Data Hackathon
  • Introduce open data
    • Open solutions for making sense out of web3
    • And ways to share data - openly
  • what does the emerging open web3 data stack look like?
    • Thinking of working on a landscape and a comparison of web3 to web2 data
      • Differences include: public data; public schema/ abstractions; positive vibes; and the ability to use blockchain for trustless collaboration
  • What are some challenges of reading open data/user transactions? Centralized/decentralized clients, cross chain limitations, cost, privacy
  • What tools are available to reading open data? i.e. Etherscan, The Graph, Covalent, Moralis, Alchemy, Transpose
  • β€œThe original sin of Ethereum. No buiilt in way to get transactions for an address”
  • what problems are you solving (open Q to all participants)?
  • The concept of The Tower of Babel in Data Science
  • Importance of fully decentralized architectures vs decentralized data abstractions and transformations?
About the ecosystem
    Anything else?
    Resources
    References
      Sources
        Β 

        Open Data Science Live Session, Ep 2

        Β 
        β˜‘οΈ
        -- PRE-CALL CHECKLIST ---
        General Discovery
        Researched by: Yuzuf, Humpty Calderon
        About the event
        • Topic: Open Data - Building web3 native tools and dashboards
        • Event schedule: October 20, 2022 10:00 AM PDT (17:00 UTC)
        • NOTE: Joining the Twitter Spaces event will not work from desktop app. You must use the mobile app.
        About our guest speaker(s)
        Q&A
        • Key messages:
          • Open Data Stack
          • Open Data Community
          • Open Data Hackathon
        • Introduce open data
          • Open solutions for making sense out of web3
          • And ways to share data - openly
        • what does the emerging open web3 data stack look like?
          • Thinking of working on a landscape and a comparison of web3 to web2 data
            • Differences include: public data; public schema/ abstractions; positive vibes; and the ability to use blockchain for trustless collaboration
        • What are some challenges of reading open data/user transactions? Centralized/decentralized clients, cross chain limitations, cost, privacy
        • What tools are available to reading open data? i.e. Etherscan, The Graph, Covalent, Moralis, Alchemy, Transpose
        • β€œThe original sin of Ethereum. No buiilt in way to get transactions for an address”
        • what problems are you solving (open Q to all participants)?
        • The concept of The Tower of Babel in Data Science
        • Importance of fully decentralized architectures vs decentralized data abstractions and transformations?
        About the ecosystem
          Anything else?
          Resources
          References
            Sources
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