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International Conference on Cloud Computing and Scalable Data Analytics · Registering as Listener

ICCCSDA
📅 20 – 21 Jan 2027 📍 Abu Dhabi, UAE 👥 Standard / Physical Participation
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$185
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Registration summary

ConferenceInternational Conference on Cloud Computing and Scalable Data Analytics
ModeStandard / Physical
ParticipationListener
Registration fee$185.00
Bank charges (5.8%)$10.73
Total payable $195.73

Includes all bank processing charges — the amount above is exactly what will be charged.

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Benefits of Registering as Listener

👥Access to Conference Sessions
🔗Networking Opportunities
🎖Certificate of Participation
Invitation Letter Support
📚Conference Kit / Materials
🎤Access to Keynote Sessions
• Conference Session Tracks •
SDG

SDG-Aligned Research Themes

Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 SDG 9 SDG 11 SDG 12

This track focuses on the latest advancements in cloud computing technologies that enhance business operations. Participants will explore case studies and frameworks that demonstrate the integration of cloud solutions in various industries.

This session will delve into scalable analytics methodologies designed to handle large datasets effectively. Researchers will present novel algorithms and architectures that optimize data processing and analysis.

This track examines the role of distributed systems in modern data storage solutions. Discussions will include challenges and strategies for ensuring data integrity and accessibility across distributed environments.

This session will highlight the significance of parallel processing techniques in enhancing computational efficiency within cloud platforms. Participants will discuss frameworks and tools that facilitate parallel execution of data-intensive tasks.

This track focuses on the convergence of edge computing and IoT analytics, emphasizing real-time data processing at the network edge. Presenters will share insights on optimizing data flow and analytics in IoT ecosystems.

This session will explore the integration of machine learning algorithms within cloud-based data analytics frameworks. Attendees will learn about innovative applications and the challenges of deploying machine learning in cloud environments.

This track addresses the architectural considerations necessary for achieving high-performance computing in cloud infrastructures. Discussions will include design patterns and best practices for optimizing resource utilization.

This session will focus on the security challenges associated with cloud-based data analytics. Experts will discuss risk management strategies and the implementation of security measures to protect sensitive data.

This track emphasizes the importance of real-time analytics in facilitating timely decision-making processes. Participants will explore tools and techniques that enable organizations to leverage real-time data insights.

This session will cover effective data integration strategies for cloud platforms, focusing on the seamless flow of information across various systems. Presenters will share methodologies that enhance data interoperability and accessibility.

This track examines the role of workflow automation in streamlining cloud-based analytics processes. Attendees will learn about tools and frameworks that facilitate automated data processing and reporting.

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