Trustless analytics refers to data analysis processes where the integrity and accuracy of the analytical results can be confirmed without relying on a central, trusted third party. These analytics often leverage cryptographic proofs or decentralized consensus mechanisms to ensure data provenance and computational correctness. They eliminate the need for intermediary validation.
Context
In the decentralized web, trustless analytics are crucial for providing verifiable insights into blockchain activity, smart contract performance, and decentralized application (dApp) usage. This capability enhances transparency and auditability, allowing users to independently confirm the data’s reliability. Development in zero-knowledge proofs and verifiable computation aims to further advance this field.
QEDB is a new protocol that uses specialized cryptographic data structures to verify complex SQL queries on large databases, yielding constant-size proofs.
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