Hybrid Conferencee

International Conference on Data Integration and Big Data Systems (ICDIBDS - 26)

3rd - 4th November 2026 | Florence, Italy
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Florence. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Florence event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Florence conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Florence, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Florence."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Data Integration Techniques

This track focuses on the latest methodologies and frameworks for integrating diverse data sources in big data systems. Researchers are encouraged to present innovative approaches that enhance data interoperability and accessibility.

Track 02

Predictive Analytics in Big Data Environments

This session will explore the application of predictive analytics within big data frameworks, emphasizing techniques that improve forecasting accuracy. Contributions should highlight case studies or novel algorithms that leverage large datasets for predictive insights.

Track 03

Machine Learning Applications in Data Engineering

This track invites discussions on the integration of machine learning techniques into data engineering practices. Papers should address how these technologies can optimize data pipelines and enhance system performance.

Track 04

AI-Driven Data Integration Strategies

This session will focus on the role of artificial intelligence in transforming data integration processes. Researchers are encouraged to present innovative AI-driven solutions that address challenges in data governance and management.

Track 05

Scalable Systems for Big Data Analytics

This track examines the design and implementation of scalable systems capable of handling vast amounts of data. Contributions should discuss architectural innovations that facilitate efficient data processing and analysis.

Track 06

Data Governance and Compliance in Big Data

This session addresses the critical aspects of data governance within big data systems, focusing on compliance, security, and ethical considerations. Papers should explore frameworks and best practices for managing data integrity and privacy.

Track 07

Innovative Strategies for Data Visualization

This track highlights new methodologies in data visualization that enhance the interpretability of complex datasets. Researchers are invited to present tools and techniques that facilitate effective data storytelling and insight generation.

Track 08

Optimizing Data Pipelines for Performance

This session focuses on strategies for optimizing data pipelines to improve efficiency and reduce latency in big data systems. Contributions should include empirical studies or theoretical frameworks that demonstrate performance enhancements.

Track 09

Interoperability Challenges in Big Data Systems

This track explores the challenges associated with achieving data interoperability across heterogeneous systems. Papers should propose solutions or frameworks that facilitate seamless data exchange and integration.

Track 10

Innovations in Intelligent Systems for Data Management

This session invites contributions on the development of intelligent systems that enhance data management processes. Researchers should focus on how these systems can automate decision-making and improve data quality.

Track 11

Trends in Data Engineering for Big Data Solutions

This track examines emerging trends in data engineering that support the development of robust big data solutions. Papers should discuss new tools, technologies, and methodologies that drive innovation in the field.