Rajkumar Kyadasu1, Shyamakrishna Siddharth Chamarthy2, Vanitha Sivasankaran Balasubramaniam3, Prof. (Dr) MSR Prasad4, Prof. (Dr) Sandeep Kumar5 & Prof. (Dr) Sangeet6
1Rivier University, South Main Street Nashua, NH 03060, rkyadasu@gmail.com
2Scholar, Columbia University, Sakthinagar 2nd Ave, Nolambur, Chennai , ashisheb1a@gmail.com
3Georgia State University, Goergia, Atlanta, GA, USA vanithab.msis@gmail.com
4Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vadeshawaram, A.P., India email2msr@gmail.com
5Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vadeshawaram, A.P., India er.sandeepsahratia@kluniversity.in
Abstract
In the era of big data, optimizing predictive analytics is crucial for deriving actionable insights and making data-driven decisions. This paper explores the integration of PySpark and machine learning models on the Databricks platform to enhance predictive analytics capabilities. PySpark, an open-source distributed computing framework, allows efficient handling and processing of large-scale datasets, while Databricks provides a unified analytics platform that simplifies the deployment and management of machine learning pipelines. By leveraging PySpark’s in-memory computing and machine learning libraries (MLlib), along with Databricks’ collaborative environment and automated scaling, organizations can streamline model training, improve prediction accuracy, and reduce processing time. This study highlights the key strategies for optimizing data pipelines, tuning machine learning models, and ensuring seamless collaboration within data science teams. The findings demonstrate how the integration of these technologies enhances the scalability and performance of predictive analytics solutions, driving business growth and innovation.
Keywords
PySpark, predictive analytics, machine learning, Databricks, big data, distributed computing, MLlib, data pipelines, model optimization, scalable analytics.
References
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- Ravi Kiran Pagidi, Pramod Kumar Voola, Amit Mangal, Aayush Jain, Prof.(Dr) Punit Goel, & Dr. S P Singh. 2022. “Leveraging Azure Data Lake for Efficient Data Processing in Telematics.” Universal Research Reports 9(4):643–674. https://doi.org/10.36676/urr.v9.i4.1397.
- Ravi Kiran Pagidi, Raja Kumar Kolli, Chandrasekhara Mokkapati, Om Goel, Dr. Shakeb Khan, & Prof.(Dr.) Arpit Jain. 2022. “Enhancing ETL Performance Using Delta Lake in Data Analytics Solutions.” Universal Research Reports 9(4):473–495. https://doi.org/10.36676/urr.v9.i4.1381.
- Ravi Kiran Pagidi, Nishit Agarwal, Venkata Ramanaiah Chintha, Er. Aman Shrivastav, Shalu Jain, Om Goel. 2022. “Data Migration Strategies from On-Prem to Cloud with Azure Synapse.” IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.9, Issue 3, Page No pp.308-323, August 2022. Available at: http://www.ijrar.org/IJRAR22C3165.pdf.
- Kshirsagar, Rajas Paresh, Nishit Agarwal, Venkata Ramanaiah Chintha, Er. Aman Shrivastav, Shalu Jain, & Om Goel. (2022). Real Time Auction Models for Programmatic Advertising Efficiency. Universal Research Reports, 9(4), 451–472. https://doi.org/10.36676/urr.v9.i4.1380
- Kshirsagar, Rajas Paresh, Shashwat Agrawal, Swetha Singiri, Akshun Chhapola, Om Goel, and Shalu Jain. (2022). “Revenue Growth Strategies through Auction Based Display Advertising.” International Journal of Research in Modern Engineering and Emerging Technology, 10(8):30. Retrieved October 3, 2024 (https://www.ijrmeet.org).
- Phanindra Kumar, Venudhar Rao Hajari, Abhishek Tangudu, Raghav Agarwal, Shalu Jain, & Aayush Jain. (2022). Streamlining Procurement Processes with SAP Ariba: A Case Study. Universal Research Reports, 9(4), 603–620. https://doi.org/10.36676/urr.v9.i4.1395
- Kankanampati, Phanindra Kumar, Pramod Kumar Voola, Amit Mangal, Prof. (Dr) Punit Goel, Aayush Jain, and Dr. S.P. Singh. (2022). “Customizing Procurement Solutions for Complex Supply Chains: Challenges and Solutions.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 10(8):50. Retrieved (https://www.ijrmeet.org).
- Ravi Kiran Pagidi, Rajas Paresh Kshir-sagar, Phanindra Kumar Kankanampati, Er. Aman Shrivastav, Prof. (Dr) Punit Goel, & Om Goel. (2022). Leveraging Data Engineering Techniques for Enhanced Business Intelligence. Universal Research Reports, 9(4), 561–581. https://doi.org/10.36676/urr.v9.i4.1392
- Rajas Paresh Kshirsagar, Santhosh Vijayabaskar, Bipin Gajbhiye, Om Goel, Prof.(Dr.) Arpit Jain, & Prof.(Dr) Punit Goel. (2022). Optimizing Auction Based Programmatic Media Buying for Retail Media Networks. Universal Research Reports, 9(4), 675–716. https://doi.org/10.36676/urr.v9.i4.1398
- Pagidi, Ravi Kiran, Jaswanth Alahari, Aravind Ayyagari, Punit Goel, Arpit Jain, and Aman Shrivastav. 2023. “Building Business Intelligence Dashboards with Power BI and Snowflake.” International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 3(12):523-541. DOI: https://www.doi.org/10.58257/IJPREMS32316.
- Pagidi, Ravi Kiran, Santhosh Vijayabaskar, Bipin Gajbhiye, Om Goel, Arpit Jain, and Punit Goel. 2023. “Real Time Data Ingestion and Transformation in Azure Data Platforms.” International Research Journal of Modernization in Engineering, Technology and Science 5(11):1-12. doi:10.56726/IRJMETS46860.
- Kankanampati, Phanindra Kumar, Santhosh Vijayabaskar, Bipin Gajbhiye, Om Goel, Arpit Jain, and Punit Goel. 2023. “Optimizing Spend Management with SAP Ariba and S4 HANA Integration.” International Journal of General Engineering and Technology (IJGET) 12(2):1–24.
- Kshirsagar, Rajas Paresh, Vishwasrao Salunkhe, Pronoy Chopra, Aman Shrivastav, Punit Goel, and Om Goel. 2023. “Enhancing Self-Service Ad Platforms with Homegrown Ad Stacks: A Case Study.” International Journal of General Engineering and Technology 12(2):1–24.
- Kshirsagar, Rajas Paresh, Pagidi, Ravi Kiran, Phanindra Kumar Kankanampati, Raghav Agarwal, Shalu Jain, and Aayush Jain. 2023. “Implementing Advanced Analytics for Real-Time Decision Making in Enterprise Systems.” International Journal of Electronics and Communication Engineering (IJECE).
- Kshirsagar, Rajas Paresh, Venudhar Rao Hajari, Abhishek Tangudu, Raghav Agarwal, Shalu Jain, and Aayush Jain. 2023. “Improving Media Buying Cycles Through Advanced Data Analytics.” International Journal of Progressive Research in Engineering Management and Science (IJPREMS) 3(12):542–558. Retrieved (https://www.ijprems.com).
- Kshirsagar, Rajas Paresh, Jaswanth Alahari, Aravind Ayyagari, Punit Goel, Arpit Jain, and Aman Shrivastav. 2023. “Cross Functional Leadership in Product Development for Programmatic Advertising Platforms.” International Research Journal of Modernization in Engineering Technology and Science 5(11):1-15. doi: https://www.doi.org/10.56726/IRJMETS46861.
- Kankanampati, Phanindra Kumar, Nishit Agarwal, Venkata Ramanaiah Chintha, Aman Shrivastav, Shalu Jain, and Om Goel. (2023). “Ensuring Compliance in Global Procurement with Third Party Tax Solutions Integration.” International Journal of Progressive Research in Engineering Management and Science 3(12):488-505. doi: https://www.doi.org/10.58257/IJPREMS32319.
- Kankanampati, Phanindra Kumar, Raja Kumar Kolli, Chandrasekhara Mokkapati, Om Goel, Shakeb Khan, and Arpit Jain. (2023). “Agile Methodologies in Procurement Solution Design Best Practices.” International Research Journal of Modernization in Engineering, Technology and Science 5(11). doi: https://www.doi.org/10.56726/IRJMETS46859.
- Vadlamani, Satish, Jaswanth Alahari, Aravind Ayyagari, Punit Goel, Arpit Jain, and Aman Shrivastav. (2023). “Optimizing Data Integration Across Disparate Systems with Alteryx and Informatica.” International Journal of General Engineering and Technology 12(2):1–24.
- Vadlamani, Satish, Phanindra Kumar Kankanampati, Punit Goel, Arpit Jain, and Vikhyat Gupta. (2023). “Enhancing Business Intelligence Through Advanced Data Analytics and Real-Time Processing.” International Journal of Electronics and Communication Engineering (IJECE) 12(2):1–20.
- Gannamneni, Nanda Kishore, Siddhey Mahadik, Shanmukha Eeti, Om Goel, Shalu Jain, and Raghav Agarwal. (2023). “Leveraging SAP GTS for Compliance Management in Global Trade Operations.” International Journal of General Engineering and Technology (IJGET) 12(2):1–24.
- Vadlamani, Satish, Nishit Agarwal, Venkata Ramanaiah Chintha, Er. Aman Shrivastav, Shalu Jain, and Om Goel. (2023). “Cross Platform Data Migration Strategies for Enterprise Data Warehouses.” International Research Journal of Modernization in Engineering, Technology and Science 5(11):1-10. https://doi.org/10.56726/IRJMETS46858.
- Gannamneni, Nanda Kishore, Pramod Kumar Voola, Amit Mangal, Punit Goel, and S. P. Singh. 2023. “Implementing SAP S/4 HANA Credit Management: A Roadmap for Financial and Sales Teams.” International Research Journal of Modernization in Engineering Technology and Science, 5(11). DOI: https://doi.org/10.56726/IRJMETS46857
- Gannamneni, Nanda Kishore, Bipin Gajbhiye, Santhosh Vijayabaskar, Om Goel, Arpit Jain, and Punit Goel. 2023. “Challenges and Solutions in Global Rollout Projects Using Agile Methodology in SAP SD/OTC.” International Journal of Progressive Research in Engineering Management and Science (IJPREMS), 3(12):476-487. doi: https://www.doi.org/10.58257/IJPREMS32323.
- Dave, Arth, Jaswanth Alahari, Aravind Ayyagari, Punit Goel, Arpit Jain, and Aman Shrivastav. 2023. “Privacy Concerns and Solutions in Personalized Advertising on Digital Platforms.” International Journal of General Engineering and Technology, 12(2):1–24. IASET. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
- Kumar, Ashish, Archit Joshi, FNU Antara, Satendra Pal Singh, Om Goel, and Pandi Kirupa Gopalakrishna. 2023. “Leveraging Artificial Intelligence to Enhance Customer Engagement and Upsell Opportunities.” International Journal of Computer Science and Engineering (IJCSE), 12(2):89–114
- Saoji, Mahika, Ojaswin Tharan, Chinmay Pingulkar, S. P. Singh, Punit Goel, and Raghav Agarwal. 2023. “The Gut-Brain Connection and Neurodegenerative Diseases: Rethinking Treatment Options.” International Journal of General Engineering and Technology (IJGET), 12(2):145–166.
- Saoji, Mahika, Siddhey Mahadik, Fnu Antara, Aman Shrivastav, Shalu Jain, and Sangeet Vashishtha. 2023. “Organoids and Personalized Medicine: Tailoring Treatments to You.” International Journal of Research in Modern Engineering and Emerging Technology, 11(8):1. Retrieved October 14, 2024 (https://www.ijrmeet.org).
- Chamarthy, Shyamakrishna Siddharth, Pronoy Chopra, Shanmukha Eeti, Om Goel, Arpit Jain, and Punit Goel. 2023. “Real-Time Data Acquisition in Medical Devices for Respiratory Health Monitoring.” International Journal of Computer Science and Engineering (IJCSE), 12(2):89–114
- Byri, Ashvini, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Satendra Pal Singh, Punit Goel, and Om Goel. 2023. “Pre-Silicon Validation Techniques for SoC Designs: A Comprehensive Analysis.” International Journal of Computer Science and Engineering (IJCSE) 12(2):89–114. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
- Mallela, Indra Reddy, Satish Vadlamani, Ashish Kumar, Om Goel, Pandi Kirupa Gopalakrishna, and Raghav Agarwal. 2023. “Deep Learning Techniques for OFAC Sanction Screening Models.” International Journal of Computer Science and Engineering (IJCSE) 12(2):89–114. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
- Ganipaneni, Sandhyarani, Rajas Paresh Kshirsagar, Vishwasrao Salunkhe, Pandi Kirupa Gopalakrishna, Punit Goel, and Satendra Pal Singh. 2023. “Advanced Techniques in ABAP Programming for SAP S/4HANA.” International Journal of Computer Science and Engineering 12(2):89–114. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
- Kendyala, Srinivasulu Harshavardhan, Archit Joshi, Indra Reddy Mallela, Satendra Pal Singh, Shalu Jain, and Om Goel. 2023. “High Availability Strategies for Identity Access Management Systems in Large Enterprises.” International Journal of Current Science 13(4):544. doi:10.IJCSP23D1176.
- Ramachandran, Ramya, Nishit Agarwal, Shyamakrishna Siddharth Chamarthy, Om Goel, Punit Goel, and Arpit Jain. 2023. “Best Practices for Agile Project Management in ERP Implementations.” International Journal of Current Science (IJCSPUB) 13(4):499. Retrieved from (https://www.ijcspub.org).
- Ramalingam, Balachandar, Nishit Agarwal, Shyamakrishna Siddharth Chamarthy, Om Goel, Punit Goel, and Arpit Jain. 2023. “Utilizing Generative AI for Design Automation in Product Development.” International Journal of Current Science (IJCSPUB) 13(4):558. doi:10.12345/IJCSP23D1177.
- Tirupathi, Rajesh, Ashish Kumar, Srinivasulu Harshavardhan Kendyala, Om Goel, Raghav Agarwal, and Shalu Jain. 2023. “Automating SAP Data Migration with Predictive Models for Higher Data Quality.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 11(8):69. Retrieved October 17, 2024 (https://www.ijrmeet.org).
- Tirupathi, Rajesh, Sneha Aravind, Ashish Kumar, Satendra Pal Singh, Om Goel, and Punit Goel. 2023. “Improving Efficiency in SAP EPPM Through AI-Driven Resource Allocation Strategies.” International Journal of Current Science (IJCSPUB) 13(4):572. Retrieved from (https://www.ijcspub.org).