Big Data Infrastructure
Big data is definitely one of the biggest tinkle phrases in IT today. Combined with virtualization and cloud computing, big data is a scientific capability that will force data centers to significantly transform and evolve within the next five years. Parallel to virtualization, big data infrastructure is unique and can create an architectural upheaval in the approach systems, storage, and software infrastructure are associated and managed.
- Cloud/Grid/Stream Computing for Big Data
- High Performance/Parallel Computing Platforms for Big Data
- Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment.
- Energy-efficient Computing for Big Data
- Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
- Software Techniques and Architectures in Cloud/Grid/Stream Computing Big Data Open Platforms
- New Programming Models for Big Data beyond Hadoop/MapReduce, STORM Software Systems to Support Big Data Computing
Related Conference of Big Data Infrastructure
October 28-29, 2025
8th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 27-28, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Dubai, UAE
November 27-28, 2025
11th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2025
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 11-12, 2025
24th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
December 15-16, 2025
6th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
December 17-18, 2025
7th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
Big Data Infrastructure Conference Speakers
Recommended Sessions
- Big Data Analytics
- Big Data Infrastructure
- Big Data Management
- Big Data Security, Privacy and Trust
- Cloud computing.
- Clustering
- Cyber security
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Methods and Algorithms
- Data Warehousing
- ETL (Extract,Transform, And Load)
- Forecasting from Big Data
- New Visualization Techniques
- OLAP Technologies
- Ransomeware
- Tools, Techniques and Trends for Big Data Analytics.
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