• Prabhu Patel

Data processing is changing because of the convergence of data streaming and periphery computing, which offers real-time efficiency and low latency advantages to industries. This article examines the idea of synergy and highlights how it may be used in a variety of industries, including production, communications, and transportation. The speed and scalability issues that arise in data streaming systems while managing massive volumes of data are addressed with optimization strategies. Several methods are outlined, such as in-memory buffering, data compression, load balancing, and parallel processing. Organizations will be able to benefit from data streaming if these obstacles are overcome.

Real-time streaming , cloud computing , Big Data

"Real-Time Data Streaming and Edge Computing: Powering the Future", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.e766-e768, October-2024, Available :http://www.jetir.org/papers/JETIR2410484.pdf

"Real-Time Data Streaming and Edge Computing: Powering the Future", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppe766-e768, October-2024, Available at : http://www.jetir.org/papers/JETIR2410484.pdf