Synergizing Blockchain with Big Data for Improved Data Integrity and Transparency

This research offers a novel and complete technique to merge blockchain and big data, solving accuracy, security, and scalability issues. Five algorithms—integrating a decentralized storage solution, automating smart contracts, reaching an agreement (proof-of-work), sharding for scalability, and securely encrypting data for privacy—are advocated. The Decentralized Storage Solution Integration technique secures the system’s basis by building up a decentralized storage system, employing cryptographic hashing to ensure stability, and ensuring acceptance through proof-of-work. The technique uses sharding technologies for scaling, parallel processing, redundancy, and fault tolerance. The autonomous storage system and Smart Contract Automation algorithm automate compliance inspections. Clearer deals reduce transaction costs. This strategy is crucial for efficient, transparent, and cost-effective contractual negotiations. The agreement (proof-of-work) approach protects financial transactions with computer problem-solving. Thus, the blockchain remains trustworthy, data is consistent, and interactions are visible. The proposed technique has been extensively investigated, and the findings reveal how each program is interconnected and vital to the system. Tables and figures indicate that the recommended strategy outperforms current combinations in all critical areas. The solution is essential because it is extensible, works with other systems, uses resources well, is easy to check, helpful, and cheap. Blockchain technology and big data are proposed as a better solution. It covers the essentials and ensures blockchain systems are secure, open, scalable, and privacy-protecting.