Cloud Computing in Big Data Analytics

Mrs. Anjali Dandekar

Assistant Professor

MES’s D.G. Ruparel College of Arts, Science And Commerce

Mr. Raj Kadam

Research Scholar

MES’s D.G. Ruparel College of Arts, Science And Commerce

Abstract :This research paper examines the role of cloud computing in big data analytics, a rapidly growing area in modern information technology. With the increasing volume of data generated from sources such as social media, Internet of Things (IoT) devices, and enterprise systems, traditional data processing techniques have become inefficient for handling largescale datasets. Cloud computing provides a scalable, flexible, and cost effective solution that enables organizations to store, manage, and process vast amounts of data efficiently. It offers on-demand access to computing resources, making it suitable for dynamic and data-intensive environments. The paper explores how cloud platforms support big data technologies such as Hadoop and Apache Spark, enabling efficient distributed processing and real-time analytics. It also highlights key benefits including improved scalability, accessibility, and reduced operational costs. Additionally, important challenges such as data security, privacy concerns, and latency issues are discussed. The study further emphasizes the integration of artificial intelligence and machine learning with cloud-based analytics to enhance predictive capabilities and support better decision making.

Keywords: Cloud Computing, Big Data Analytics, Hadoop, Apache Spark, Distributed Systems, Scalability, Data Processing, Machine Learning Integration.+