Big Data Analytics - Tools and Technologies: Studying tools and technologies for big data analytics, including distributed computing frameworks like Hadoop and Spark
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Big Data AnalyticsAbstract
Big data analytics has become increasingly important in various industries due to the vast amount of data generated daily. This research paper explores the tools and technologies used in big data analytics, with a focus on distributed computing frameworks such as Hadoop and Spark. These frameworks enable the processing of large datasets across clusters of computers, allowing for efficient data analysis and insights extraction. The paper discusses the architecture, features, and benefits of Hadoop and Spark, along with their use cases and comparative analysis. Additionally, it examines other tools and technologies in the big data analytics ecosystem, including data storage solutions, data processing engines, and data visualization tools. The research aims to provide a comprehensive overview of the tools and technologies available for big data analytics, helping organizations make informed decisions in their data analytics initiatives.
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References
Tatineni, Sumanth, and Venkat Raviteja Boppana. "AI-Powered DevOps and MLOps Frameworks: Enhancing Collaboration, Automation, and Scalability in Machine Learning Pipelines." Journal of Artificial Intelligence Research and Applications 1.2 (2021): 58-88.
Shahane, Vishal. "Harnessing Serverless Computing for Efficient and Scalable Big Data Analytics Workloads." Journal of Artificial Intelligence Research 1.1 (2021): 40-65.
Abouelyazid, Mahmoud, and Chen Xiang. "Architectures for AI Integration in Next-Generation Cloud Infrastructure, Development, Security, and Management." International Journal of Information and Cybersecurity 3.1 (2019): 1-19.
Prabhod, Kummaragunta Joel. "Utilizing Foundation Models and Reinforcement Learning for Intelligent Robotics: Enhancing Autonomous Task Performance in Dynamic Environments." Journal of Artificial Intelligence Research 2.2 (2022): 1-20.
Tatineni, Sumanth, and Anirudh Mustyala. "AI-Powered Automation in DevOps for Intelligent Release Management: Techniques for Reducing Deployment Failures and Improving Software Quality." Advances in Deep Learning Techniques 1.1 (2021): 74-110.
