Hybrid Conferencee

International Conference on Big Data Analytics in IT (ICBDAIT - 26)

30th - 1st October 2026 | Mecca, Saudi Arabia

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Mecca. 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 Mecca 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 Mecca conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Mecca, 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 Mecca."
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

Innovations in Big Data Analytics

This track focuses on the latest advancements in big data analytics techniques and methodologies. Researchers are invited to present novel approaches that enhance data processing and analysis in various IT applications.

Track 02

Machine Learning Applications in IT

This session explores the integration of machine learning algorithms within IT frameworks to improve decision-making processes. Contributions should highlight practical applications and case studies demonstrating effectiveness.

Track 03

Data Mining Techniques for Enhanced Insights

This track aims to discuss innovative data mining techniques that facilitate deeper insights from large datasets. Papers should address challenges and solutions in extracting valuable information from complex data.

Track 04

Predictive Analytics in Business Intelligence

This session examines the role of predictive analytics in shaping business intelligence strategies. Submissions should showcase how predictive models can drive informed decision-making in organizations.

Track 05

Cloud Computing and Big Data Integration

This track investigates the synergy between cloud computing and big data technologies. Researchers are encouraged to present frameworks and architectures that optimize data storage and processing in cloud environments.

Track 06

Data Security and Privacy in Analytics

This session addresses critical issues related to data security and privacy in the context of big data analytics. Papers should propose solutions to safeguard sensitive information while maintaining analytical capabilities.

Track 07

Database Management for Big Data Systems

This track focuses on the challenges and solutions in database management for big data applications. Contributions should discuss innovative database architectures and management strategies that support large-scale data operations.

Track 08

IT Infrastructure for Data-Driven Decision Making

This session explores the essential IT infrastructure components that support data-driven decision-making processes. Papers should highlight the integration of hardware and software systems that enhance data accessibility and usability.

Track 09

Distributed Computing for Enhanced Performance

This track examines the role of distributed computing in optimizing big data analytics performance. Researchers are invited to present frameworks and algorithms that leverage distributed systems for improved efficiency.

Track 10

Data Visualization Techniques for Effective Communication

This session focuses on innovative data visualization techniques that enhance the interpretation of complex data sets. Submissions should demonstrate how effective visualization can lead to better insights and decision-making.

Track 11

Governance and Compliance in Big Data Analytics

This track addresses the importance of data governance and compliance in the realm of big data analytics. Papers should discuss frameworks and best practices for ensuring data integrity and regulatory adherence.