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You're reading from  Data Science for Web3

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781837637546
Edition1st Edition
Concepts
Data Science
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Gabriela Castillo Areco
Gabriela Castillo Areco
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Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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Summary

In conclusion, this chapter delved into the world of on-chain data, which serves as the primary data source in Web3. We started the chapter by dissecting individual transactions and gaining insights into their structure and components. This understanding was further expanded as we explored the anatomy of blocks.

Moving forward, we delved into an analysis of state data. By examining state variables and their significance, we gained a deeper understanding of how data is stored and accessed within a blockchain.

To further enhance our ability to work with on-chain data, we explored a range of data providers. From widely used block explorers such as Etherscan to powerful APIs such as Infura, Moralis, and Covalent, and SQL-accessible tables such us Dune and Flipside, we built a comprehensive list of resources that grant us access to on-chain data. Each provider offers unique features, data formats, and querying capabilities, allowing us to tailor our approach based on the specific...

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Data Science for Web3
Published in: Dec 2023Publisher: PacktISBN-13: 9781837637546
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
Read more about Gabriela Castillo Areco

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