Data Analytics
Big data is data sets that are so capacious and composite that outdated data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. There are three dimensions to big data known as Volume, Variety and Velocity
- Big Data Analytics Adoption
- Benefits of Big Data Analytics
- Barriers to Big Data Analytics
- Volume Growth of Analytic Big Data
- Managing Analytic Big Data
- Data Types for Big Data
Related Conference of Data Analytics
Data Analytics Conference Speakers
Recommended Sessions
- Artificial Intelligence
- Big Data Applications
- Big Data in Nursing Research
- Big data technologies
- Biostatistics applications
- Business Analytics
- Cloud computing & E-commerce
- Complexity in data structure and algorithm
- Data Analytics
- Data mining analysis
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Cluster Analysis
- Data Mining for Cyber Security
- Data Mining Methods and Algorithms
- Data Mining Tasks and Processes
- Data Mining Tools and Software
- Data privacy and ethics
- Internet of things
- Optimization and Big Data
- Social Media analytics
- Statistical Methods