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The Core Indexer is responsible for tracking and querying data across nodes in the DataHive ecosystem. It will facilitate efficient data retrieval and support tokenomics and AI operations by maintaining a record of all relevant data transactions.
Key Responsibilities:
Design Indexing Logic:
Define what data needs to be indexed (e.g., consent records, token transactions, data assets).
Determine how frequently the indexer updates and interacts with other nodes.
Implement Indexing Service:
Develop a service that runs on each node to maintain an index of all relevant data.
Ensure that the indexer can handle large volumes of data efficiently.
Integrate with Decentralized Storage:
Connect the indexer to decentralized storage solutions (e.g., IPFS or Arweave) for tracking and retrieving stored data.
Test and Validate:
Conduct functional tests to ensure that the indexer is working as expected.
Validate performance under different conditions (e.g., high traffic).
Expected Deliverables:
A fully functional indexing service that tracks key data points across nodes.
Integration with decentralized storage for efficient data retrieval.
Documentation on how to use and extend the indexing service.
Timeline:
Start Date: Dec 1, 2024
Completion Date: Dec 12, 2024
Dependencies:
Integration with tokenomics and AI agent frameworks.
Security protocols for encrypted data retrieval.
The text was updated successfully, but these errors were encountered:
The Core Indexer is responsible for tracking and querying data across nodes in the DataHive ecosystem. It will facilitate efficient data retrieval and support tokenomics and AI operations by maintaining a record of all relevant data transactions.
Key Responsibilities:
Design Indexing Logic:
Implement Indexing Service:
Integrate with Decentralized Storage:
Test and Validate:
Expected Deliverables:
Timeline:
Dependencies:
The text was updated successfully, but these errors were encountered: