The terms “Big Data” and “Cloud Computing” have been heard before. If you’re involved with cloud application development, you may even have experience with them. The two go hand-in-hand, with many public cloud services performing big data analytics. With Software as a Service (SaaS) becoming increasingly popular, keeping up-to-date with cloud infrastructure best practices and the types of data that can be stored in large quantities is crucial; The GCC Big Data & Cloud Computing Conference will be held in Kuwait, on 29-30 May 2024 to provide practitioners with current and upcoming frontier technologies, innovative solutions, research results, as well as enterprises related to cloud computing and big data analytics and their applications.


Is there A Difference between

Big Data & Cloud Computing?

Big Data

This simply refers to the very large sets of data that are output by a variety of programs. It can refer to any of a large variety of types of data, and the data sets are usually far too large to peruse or query on a regular computer.

Cloud Computing

This refers to the processing of anything, including Big Data Analytics, on the “cloud”. The “cloud” is just a set of high-powered servers from one of many providers. They can often view and query large data sets much more quickly than a standard computer could.

Essentially, “Big Data” refers to the large sets of data collected, while “Cloud Computing” refers to the mechanism that remotely takes this data in and performs any operations specified on that data.

Key Topics

• Algorithmic, experimental, prototyping and implementation
• Big Data Mining and Analytics
• Big Data Algorithms, Applications and Services
• Cloud and Big Data for Internet of Things (IoT)
• Big Data Processing and Querying
• Big Data Government and Industrial Experiences
• Cloud Computing, Scheduling and Resource Management
• Green Data Centers / Environmental- Friendly Perspectives
• Green Computing and Networking Technologies
• Software, Hardware and Algorithm Co - Design,
• High- Performance Computing
• Artificial Intelligence (AI)
• Big Data in Health Care



• Software Engineering
• Electronic Archiving
• Cloud Computing Solutions and Platforms
• Software and Tools for Big Data Management
• Big Data Visualization
• Privacy and Security
• Data Quality Issues
• Big Data Education
• Data Intensive Computing Theorems and Technologies
• Data- Driven Innovation
• Computational Modelling and Data Integration
• Virtualization Technologies
• Cloud Data Management and Storage
• Cloud Resource Management and QoS