2021 IEEE 6th International Conference on Big Data Analytics (ICBDA)
Event submitted on Saturday, July 25th 2020, approved by Charles Villanueva ✓
This event has been tagged as follows:
The mighty IEEE is organizing this mega physical “in-person” conference in China in 2021. If “big data” is your thing, and increasingly we are seeing systems and applications using vast amounts of data, then this event is for you. This event would also be of interest to Cybersecurity and tech professionals based in Hong Kong. How is this applicable to Cybersecurity? As well all know, protecting systems requires practitioners to work with vast amounts of data, and this will help with that.
Conference Event Summary
The following description was either submitted by the Conference Organizer on Saturday, July 25th 2020, or created by us.
Big Data overall architecture consists of three layers: data storage, data processing, and data analysis. Data storage layer stores complex types and mass data, the data processing layer realizes real-time processing of massive data, and only through the data analysis layer, smart, in-depth, and valuable information are got. When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety, Velocity , Veracity. Big data processing key technology generally includes: data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc.).
In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself. 2021 6th International Conference on Big Data Analytics (ICBDA 2021) provides a leading forum for disseminating the latest research in Big Data Research, Development, and Application.
Topics of interest include, but are not limited to:
- Big Data Models and Algorithms
- Big Data Architectures
- Big Data Management
- Big Data Protection, Integrity and Privacy
- Security Applications of Big Data
- Big Data Search and Mining
- Big Data for Enterprise, Government and Society