On-location / Digital Conference

International Conference on Big Data Infrastructure and System Design (ICBDISD-27)

28th - 29th Apr 2027,Lyon, France

In Association With:

Call for Paper


Important Dates


Early Bird Registration

29th Mar 2027

Paper Submission Deadline

3rd April 2027

Registration Deadline

13th April 2027

Conference Date

28th - 29th Apr 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Lyon ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Lyon conference.
  • Peer Review Process:
    The peer review process will begin soon for Lyon conference.
  • Networking with Global Experts:
    Join global experts at our conference in Lyon.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICBDISD bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data Infrastructure and System Design, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Designing big data infrastructure solutions
  • Scalable storage systems for big data
  • Data integration techniques for big data
  • Performance benchmarking of big data systems
  • Cloud-based solutions for big data storage
  • Data processing frameworks for large datasets
  • Big data analytics for business intelligence
  • Challenges in big data architecture
  • Future trends in big data technologies
  • Case studies of big data implementations
  • Data governance in big data environments
  • Real-time processing of big data streams
  • Big data security and privacy concerns
  • Impact of big data on decision making
  • Big data tools and technologies comparison
  • Data visualization for big data insights
  • Big data in scientific research applications
  • Collaborative big data projects and initiatives
  • Big data analytics for predictive modeling
  • Integration of AI in big data systems

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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