15 Topics
10 Days
Programme Overview
Training Description
Who Should Attend
This course is ideal for;
- Data Analysts
- Blockchain Developers
- System Architects
- Data Scientists
- Security Professionals
- Big Data Engineers
- Anyone needing blockchain and Big Data analytics skills
Session Objectives
- Understand the fundamentals of blockchain and Big Data integration.
- Master the principles of distributed ledgers and smart contracts.
- Utilize blockchain for secure data storage and provenance.
- Implement secure data pipelines for Big Data analytics.
- Design blockchain-based data analytics solutions.
- •Utilize blockchain for data integrity and transparency.
- Troubleshoot and optimize blockchain-based data systems.
- Implement data security and access control in blockchain environments.
- Integrate blockchain with existing Big Data platforms.
- Understand how to monitor and manage blockchain-based data systems.
- Explore advanced blockchain analytics techniques.
- Apply real world use cases for blockchain and Big Data integration.
- Develop smart contracts for data processing and validation.
About the Course
Architect secure, audit-proof, and decentralized data ecosystems with our Blockchain & Big Data Analytics Training Course. Tailored for data architects, blockchain developers, and enterprise system leads, this hands-on program equips technical teams to fuse Distributed Ledger Technology (DLT) with high-volume analytics platforms. Guided by blockchain data architects, you will master decentralized storage integration (IPFS/Filecoin), smart contract automation for data access, immutable audit logging, and cryptographic data validation—enabling your enterprise to ensure tamper-proof data provenance, enforce zero-trust data sharing, and build transparent analytics infrastructure at scale.
Curriculum & Topics
15 Topics | 10 Days
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Subtopic 1.1:
Fundamentals of blockchain and Big Data.
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Subtopic 1.2:
Overview of blockchain technologies and their applications.
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Subtopic 1.3:
Setting up a blockchain development environment.
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Subtopic 1.4:
Introduction to blockchain and Big Data tools and frameworks.
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Subtopic 1.5:
Best practices for blockchain and Big Data integration.
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Subtopic 2.1:
Understanding distributed ledger technology (DLT).
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Subtopic 2.2:
Implementing smart contracts for data processing.
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Subtopic 2.3:
Utilizing blockchain for secure data storage.
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Subtopic 2.4:
Designing and deploying blockchain networks.
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Subtopic 2.5:
Best practices for DLT and smart contracts.
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Subtopic 3.1:
Utilizing blockchain for data provenance and lineage.
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Subtopic 3.2:
Implementing secure data storage on blockchain.
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Subtopic 3.3:
Managing data integrity and immutability.
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Subtopic 3.4:
Implementing data auditing and compliance.
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Subtopic 3.5:
Best practices for secure data storage.
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Subtopic 4.1:
Designing secure data pipelines for Big Data.
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Subtopic 4.2:
Utilizing blockchain for data validation and verification.
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Subtopic 4.3:
Implementing data encryption and access control.
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Subtopic 4.4:
Ensuring data confidentiality and integrity.
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Subtopic 4.5:
Best practices for secure data pipelines.
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Subtopic 5.1:
Designing blockchain-based data analytics platforms.
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Subtopic 5.2:
Implementing secure data sharing and collaboration.
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Subtopic 5.3:
Utilizing blockchain for data marketplaces.
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Subtopic 5.4:
Building decentralized data applications.
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Subtopic 5.5:
Best practices for blockchain analytics solutions.
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Subtopic 6.1:
Utilizing blockchain for data integrity and transparency.
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Subtopic 6.2:
Implementing cryptographic techniques for data security.
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Subtopic 6.3:
Ensuring data accountability and auditability.
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Subtopic 6.4:
Managing data governance on blockchain.
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Subtopic 6.5:
Best practices for data integrity.
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Subtopic 7.1:
Debugging blockchain-based data systems.
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Subtopic 7.2:
Analyzing blockchain network performance.
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Subtopic 7.3:
Utilizing monitoring tools and techniques.
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Subtopic 7.4:
Optimizing data processing on blockchain.
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Subtopic 7.5:
Best practices for troubleshooting.
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Subtopic 8.1:
Implementing data security in blockchain environments.
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Subtopic 8.2:
Utilizing authentication and authorization.
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Subtopic 8.3:
Implementing data encryption and access control policies.
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Subtopic 8.4:
Managing data permissions and privileges.
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Subtopic 8.5:
Best practices for data security.
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Subtopic 9.1:
Integrating blockchain with existing Big Data platforms.
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Subtopic 9.2:
Utilizing data connectors and APIs.
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Subtopic 9.3:
Implementing data transfer between blockchain and Big Data systems.
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Subtopic 9.4:
Best practices for integration.
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Subtopic 10.1:
Monitoring blockchain network performance and health.
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Subtopic 10.2:
Implementing alerting and notifications.
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Subtopic 10.3:
Utilizing monitoring tools and techniques.
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Subtopic 10.4:
Managing blockchain-based data systems.
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Subtopic 10.5:
Best practices for monitoring.
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Subtopic 11.1:
Implementing privacy-preserving analytics on blockchain.
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Subtopic 11.2:
Utilizing federated learning on blockchain.
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Subtopic 11.3:
Implementing secure multi-party computation.
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Subtopic 11.4:
Advanced techniques for blockchain data processing.
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Subtopic 11.5:
Best practices for advanced analytics.
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Subtopic 12.1:
Implementing blockchain for supply chain data analytics.
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Subtopic 12.2:
Utilizing blockchain for healthcare data management.
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Subtopic 12.3:
Implementing blockchain for financial data analysis.
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Subtopic 12.4:
Utilizing blockchain for government data transparency.
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Subtopic 12.5:
Best practices for real world applications.
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Subtopic 13.1:
Developing smart contracts for data processing and validation.
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Subtopic 13.2:
Utilizing smart contracts for data automation.
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Subtopic 13.3:
Implementing smart contracts for data governance.
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Subtopic 13.4:
Best practices for smart contracts.
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Subtopic 14.1:
Implementing data governance policies in blockchain environments.
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Subtopic 14.2:
Utilizing metadata management for blockchain data.
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Subtopic 14.3:
Implementing data lineage and data dictionary.
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Subtopic 14.4:
Best practices for data governance.
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Subtopic 15.1:
Emerging trends in blockchain and Big Data.
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Subtopic 15.2:
Utilizing AI and automation in blockchain analytics.
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Subtopic 15.3:
Implementing interoperable blockchain solutions.
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Subtopic 15.4:
Best practices for future blockchain.
