Big Data Analytics in Cloud Computing
Abstract: In recent years big data analytics has revolutionized industries: healthcare saw a 16.7% CAGR, driving personalized medicine; retail experienced a 20% sales increase through inventory optimization; and finance improved risk management and customer service, enhancing overall operational efficiency. Historically, the synergy between big data and cloud computing began with Hadoop and MapReduce, which allowed the distributed processing of enormous data sets. Both technologies have developed, with advancements like Apache Spark for faster processing and cloud platforms such as AWS, Google Cloud, and Azure for scalable infrastructure. A practical example of this synergy is Netflix; customers benefit from big data analytics through personalized recommendations, optimized content suggestions, and seamless streaming experiences, enhancing their viewing satisfaction and engagement. With the growing use of cloud computing and big data, challenges like data security, privacy, and integrating diverse data sources arise. This paper will explore the Evolution of Big Data Analytics in Cloud Computing, current cloud platforms, data security and privacy issues, and emerging trends.
Keywords: Big Data Analytics, Cloud Computing, Distributed Processing, Data Integration, Scalable Infrastructure
How to Cite?: Goutham Sabbani, "Big Data Analytics in Cloud Computing", Volume 13 Issue 6, June 2024, International Journal of Science and Research (IJSR), Pages: 359-363, https://www.ijsr.net/getabstract.php?paperid=SR24604002336, DOI: https://dx.doi.org/10.21275/SR24604002336