Big Data Technologies
Big Data is the name given to huge amounts of data. As the data comes in from a variety of sources, it could be too diverse and too massive for conventional technologies to handle. This makes it very important to have the skills and infrastructure to handle it intelligently. There are many of the big data solutions that are particularly popular right now fit for the use
- GEOSS clearinghouse
- Distributed and parallel computing
- Big data storage architecture
Related Conference of Big Data Technologies
October 16-17, 2023
17th International Conference & Exhibition on Biosensors & Bioelectronics
Toronto, Canada
November 08-09, 2023
3rd International conference on Information Technology, Data Science and Digital Health
Paris, France
November 13-14, 2023
5th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
November 15-16, 2023
10th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2023
10th International Conference and Exhibition on Mechanical & Aerospace Engineering
Vancouver, Canada
April 24-25, 2024
6th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
Big Data Technologies Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Analytics
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Data Mining Methods and Algorithms
- Forecasting from Big Data
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Renewable Energy Forecasting with Big Data
- Social Network Analysis
- Big Data Algorithm
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Frequent Pattern Mining
- Open Data
- Search and Data Mining
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