2021 3rd International Conference on Big Data Engineering (BDE) 2021
Event submitted on Monday, October 12th 2020, approved by Content Team ✓
44 Days Until The Event
May 29th, 2021
- May 31st, 2021
China
» Shanghai
Event Website
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Our Review
This is one of the best events in Big Data Engineering taking place in Shanghai, China on May 29th. Focuses on sharing knowledge and results in theory, methodology and new advances and research results in the said field. Let us join in BDE 2021 to enjoy the discussion!
- Review written by Henry Dalziel on Monday, October 12th 2020.
- If you would like to edit or ammend facts in my review please either send us a message or connect with me via LinkedIn.
Conference Event Summary
The following description was either submitted by the Conference Organizer on Monday, October 12th 2020, or created by us.
The 2021 3rd International Conference on Big Data Engineering (BDE 2021) will be held during May 29-31, 2021 in Shanghai, China. BDE 2021 is an international forum for sharing knowledge and results in theory, methodology, and new advances and research results in the fields of Big Data Engineering. The conference will bring together researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. The Conference welcomes significant contributions in all major fields of the Big Data Engineering in theoretical and practical aspects. It will put special emphasis on the participation of Ph.D. students, postdoctoral fellows, and other young researchers from all over the world. It would be beneficial to bring together a group of experts from diverse fields to discuss recent progress and to share ideas on open questions. The conference will feature world-class keynote speakers in the main areas.
Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions, and weblogs; and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Various technologies are being discussed to support the handling of big data such as massively parallel processing databases, scalable storage systems, cloud computing platforms, and MapReduce.
