• Rudra Girishkumar Patel
• Hara Yashpalbhai Raval
• Riya Amitbhai Raval

Rapid advancement in new technologies in the last few years has led to the growth of knowledge in various forms such as knowledge generation, communication, business intelligence and medicine. The concept of big data aims to capture the essence of this new vision. Compared with traditional data, big data has other characteristics in addition to big data. For example, large files are completely distributed and unnecessary. This new version allows us to create new models for data collection, distribution, storage and analysis. In this paper, we propose a big data analytics framework in the form of a scalable system that aims to provide a holistic dimension to big data systems to solve big data problems. First, we introduce the definition and background of big data. We then propose a framework to describe the architecture of big data. Finally, we describe the challenges facing big data and the need for future work. Key words- big data analysis, data collection, data storage, data transmission, data analysis.The abstract appears to be about computing, specifically using cloud computing as the infrastructure for processing and analyzing big data. The authors discuss the challenges of dealingwith large amounts of data, known as big data, and how traditional processing tools are unable to handle them effectively. They introduce big data analytics as a crucial process in many fields and sectors, and discuss the issues and benefits of this process. The abstract also touches on the exponential growth of data generated daily, and the need for new technologies and ways of processing and analyzing this data. The authors discuss the challenges of dealingwith large amounts of data, known as big data, and how traditional processing tools are unable to handle them effectively. They introduce big data analytics as a crucial process in many fields and sectors, and discuss the issues and benefits of this process. The authors use Google's BigQuery as a case study to perform experiments on different sizes of datasets. The abstract also touches on the exponential growth of data generated daily, and the need for new technologies and ways of processing and analyzing this data. The authors aim to provide an overview of how analytics of big data in cloud computing can be done using Google's BigQuery platform.

1. Big data analytics 2. Cloud computing 3. Data collection 4. Data storage 5. Data transmission 6. Data analysis 7. Scalable system 8. Framework 9. Challenges 10. Future work

"Integration Of Big Data with Scalable Computing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.c687-c695, February-2024, Available :http://www.jetir.org/papers/JETIR2402282.pdf

"Integration Of Big Data with Scalable Computing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppc687-c695, February-2024, Available at : http://www.jetir.org/papers/JETIR2402282.pdf