A Big Data Primer: Introducing ZK MapReduce | by Lagrange Labs Inc. | Medium

The future of cross-chain interoperability will be built around dynamic and data-rich relationships between multi-chain dapps. Lagrange Labs is building the glue to help securely scale zero-knowledge proof based interoperability. The Lagrange Labs ZK Big Data stack is a proprietary proof construction optimized for generating large scale batch storage proofs concurrently with arbitrary dynamic distributed computation. The ZK Big Data stack is extensible to any distributed computational frameworks, ranging from MapReduce to RDD to distributed SQL. With the Lagrange Labs ZK Big Data stack, a proof can be generated from a single block header, proving both an array of historical storage slot states at arbitrary depths and the results of a distributed computation executed on those states. In short, each proof combines both the verification of storage proofs and verifiable distributed computation, within a single step. In this article, we’ll be discussing ZK MapReduce (ZKMR), the first produc

The future of cross-chain interoperability will be built around dynamic and data-rich relationships between multi-chain dapps. Lagrange Labs is building the glue to help securely scale zero-knowledge proof based interoperability. The Lagrange Labs ZK Big Data stack is a proprietary proof construction optimized for generating large scale batch storage proofs concurrently with arbitrary dynamic distributed computation. The ZK Big Data stack is extensible to any distributed computational frameworks, ranging from MapReduce to RDD to distributed SQL. With the Lagrange Labs ZK Big Data stack, a proo