ABSTRACT:In the modern digital landscape, massive volumes of data are continuously generated from sources such as social media platforms, IoT devices, and enterprise systems. Traditional data processing approaches often fail to handle the speed and complexity of such data streams. Deep learning, an advanced branch of artificial intelligence, offers powerful techniques to process and analyze large-scale data in real time. This study explores how deep learning models can be integrated with big data technologies to enable efficient real-time analytics. A structured survey of 200 industry professionals was conducted to understand current adoption trends, benefits, and challenges. Findings indicate that approximately 78% of respondents prefer deep learning solutions due to their adaptability and higher accuracy. However, concerns such as computational requirements and latency still persist.

KEYWORDS: Big Data, Deep Learning, Real-Time Analytics, Artificial Intelligence, Neural Networks

REAL-TIME BIG DATA ANALYSIS USING DEEP LEARNING

MRS. ANJALI DANDEKAR ASSISTANT PROFESSOR,
MR. SAIRAJ MHATRE RESEARCH SCHOLAR,
D.G. RUPAREL COLLEGE OF ARTS, SCIENCE AND COMMERCE