Bitnobi, Inc.

Other

Myant Technologies Inc.

Mark Shtern

Marin Litoiu

Bradley Simmons

Mike Smit

Fahad Karar

Justin Ngo Le

Michael Smit

Paul Darius Vytas

Methods and systems for secure, federated, and decentralized ownership, storage, sharing and usage of big data are provided. According to one example, a first server maintains access to a plurality of federated data sources including at least one local database and at least one remote database. The local database is subject to a first data policy controlled by the first server and the remote database is subject to a second data policy controlled by a remote server. The first server receives a query from a user electronic device and verifies at least one permission attribute of the user electronic device relative to the data policies. After the federated data operation query has been approved, the first server generates results of the query including data fields from the local and remote databases in compliance with the first and second data policies.

Federated decentralized data sharing

Methods and systems for secure, encrypted and distributed ownership and usage of big data are provided. According to one example, a server maintains a local key management data store, a data blockchain copy, an audit blockchain copy, and a metadata blockchain copy. A data operation from a user electronic device is received. The server verifies that the user electronic device has access against the local key management data store, runs the data operation and records metadata about the data operation, and writes data blocks to the data blockchain copy, the audit blockchain copy, and the metadata blockchain copy. The server broadcasts the updated blockchain copies to the peer-to-peer network for replication.

Distributed governance for sharing of big data

An ecosystem that allows fine-grained multi-party control over access to information stored in one or more data sources of a data provider. A requesting party can submit a query job to the data provider. Resellers in the chain can introduce their own query modifiers to the query job, adding additional data access, data transformation and segmentation functions to the query job. The data provider can append its own query modifier to the query job and execute the query job with all of the query modifiers. Access control for each link in the chain is checked before the query modifier for the link is executed. After execution of all query modifiers and the query job, the results can be provided to the requesting party.

Systems and methods of precision sharing of big data

Growing community of inventors

Toronto, Canada

Mark Shtern