Scalable ETL Processes in Azure Data Factory: Best Practices for Data Engineers

Swathi Garudasu¹, Sandhyarani Ganipaneni², Rajas Paresh Kshirsagar³, Om Goel⁴, Prof. (Dr.) Arpit Jain⁵, Prof. (Dr) Punit Goel⁶

 ¹Symbiosis Center for Distance Learning, Pune, India, swathieb1a@gmail.com

 ² Scholar, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India – 500081, sandhyaranieb1@gmail.com

 ³N.Y. University, Malad (W), Mumbai – 400064, Maharashtra, India, rajaskshirsagar@gmail.com

 ⁴ABES Engineering College Ghaziabad, India, omgoeldec2@gmail.com

 ⁵KL University, Vijayawada, Andhra Pradesh, India,  dr.jainarpit@gmail.com

 ⁶Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, India, drkumarpunitgoel@gmail.com

Abstract

As organizations increasingly rely on data-driven decision-making, the efficient management of data pipelines becomes paramount. Extract, Transform, Load (ETL) processes are essential for aggregating, transforming, and loading data from various sources into centralized repositories for analysis. Azure Data Factory (ADF), Microsoft’s cloud-based data integration service, provides a powerful platform for building scalable ETL workflows. This paper aims to explore best practices for implementing scalable ETL processes within Azure Data Factory, focusing on methodologies that data engineers can adopt to optimize performance, enhance reliability, and reduce costs.

The paper begins with an overview of Azure Data Factory’s architecture, highlighting its key components: pipelines, datasets, and linked services. These components work together to create a flexible and dynamic data integration environment. We emphasize the significance of adopting a modular approach to ETL design, which allows for the reuse of components and facilitates easier maintenance. Modularization not only streamlines the ETL process but also enables data engineers to adapt to changing data requirements with greater agility.

A critical aspect of scalability in ETL processes is the effective use of Azure Data Factory’s features. Techniques such as parallel execution, incremental data loading, and partitioning of datasets are examined in detail. Parallel execution allows multiple tasks to run concurrently, significantly reducing overall processing times. Incremental loading ensures that only new or modified data is processed, thus minimizing resource consumption. Partitioning datasets can further optimize performance by distributing workloads evenly across processing units.

The literature review reveals a gap in empirical research specifically addressing scalable ETL practices within Azure Data Factory. While existing studies cover general ETL strategies in cloud environments, few focus on the specific capabilities and best practices applicable to ADF. This paper seeks to bridge that gap by proposing a comprehensive framework that combines best practices with empirical analysis of performance metrics.

The proposed methodology outlines a systematic approach to designing ETL workflows in Azure Data Factory. By incorporating best practices such as modular design, efficient data ingestion techniques, and robust error handling, data engineers can create ETL processes that are not only scalable but also resilient to failures. Empirical results from case studies demonstrate the effectiveness of these practices, showcasing improvements in processing time, resource utilization, and cost efficiency.

The findings of this research have significant implications for data engineering professionals. By adhering to the best practices outlined in this paper, organizations can enhance their data integration capabilities and ensure that their ETL processes can scale in response to growing data demands. The conclusion discusses the broader impact of these practices on the field of data engineering and outlines future research directions to further refine ETL methodologies in cloud environments.

Keywords

ETL, Azure Data Factory, data engineering, scalability, cloud computing, data integration, best practices, performance optimization.

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• Tirupati, Krishna Kishor, Shreyas Mahimkar, Sumit Shekhar, Om Goel, Arpit Jain, and Alok Gupta. 2023. “Advanced Techniques for Data Integration and Management Using Azure Logic Apps and ADF.” International Journal of Progressive Research in Engineering Management and Science 3(12):460–475. doi: https://www.doi.org/10.58257/IJPREMS32371.
• Sivaprasad Nadukuru, Archit Joshi, Shalu Jain, Krishna Kishor Tirupati, & Akshun Chhapola. 2023. “Advanced Techniques in SAP SD Customization for Pricing and Billing.” Innovative Research Thoughts 9(1):421–449. https://doi.org/10.36676/irt.v9.i1.1496.
• Sivaprasad Nadukuru, Dr S P Singh, Shalu Jain, Om Goel, & Raghav Agarwal. 2023. “Implementing SAP Hybris for E-commerce Solutions in Global Enterprises.” Universal Research Reports 10(2):639–675. https://doi.org/10.36676/urr.v10.i2.1374.
• Nadukuru, Sivaprasad, Venkata Ramanaiah Chintha, Vishesh Narendra Pamadi, Punit Goel, Vikhyat Gupta, and Om Goel. 2023. “SAP Pricing Procedures Configuration and Optimization Strategies.” International Journal of Progressive Research in Engineering Management and Science 3(12):428–443. doi: https://www.doi.org/10.58257/IJPREMS32370.
• Pagidi, Ravi Kiran, Shashwat Agrawal, Swetha Singiri, Akshun Chhapola, Om Goel, and Shalu Jain. 2023. “Real-Time Data Processing with Azure Event Hub and Streaming Analytics.” International Journal of General Engineering and Technology (IJGET) 12(2):1–24.
• 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).
• Das, Abhishek, Ramya Ramachandran, Imran Khan, Om Goel, Arpit Jain, and Lalit Kumar. 2023. “GDPR Compliance Resolution Techniques for Petabyte-Scale Data Systems.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 11(8):95.
• Das, Abhishek, Balachandar Ramalingam, Hemant Singh Sengar, Lalit Kumar, Satendra Pal Singh, and Punit Goel. 2023. “Designing Distributed Systems for On-Demand Scoring and Prediction Services.” International Journal of Current Science 13(4):514. ISSN: 2250-1770. (https://www.ijcspub.org).
• Krishnamurthy, Satish, Abhijeet Bajaj, Priyank Mohan, Punit Goel, Satendra Pal Singh, and Arpit Jain. 2023. “Microservices Architecture in Cloud-Native Retail Solutions: Benefits and Challenges.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 11(8):21. Retrieved October 17, 2024 (https://www.ijrmeet.org).

• Krishna Kishor Tirupati, Siddhey Mahadik, Md Abul Khair, Om Goel, & Prof.(Dr.) Arpit Jain. (2022). Optimizing Machine Learning Models for Predictive Analytics in Cloud Environments. International Journal for Research Publication and Seminar, 13(5), 611–642. https://doi.org/10.36676/jrps.v13.i5.1530.
• Tirupati, Krishna Kishor, Pattabi Rama Rao Thumati, Pavan Kanchi, Raghav Agarwal, Om Goel, and Aman Shrivastav. 2022. “Best Practices for Automating Deployments Using CI/CD Pipelines in Azure.” International Journal of Computer Science and Engineering 11(1):141–164. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
• Archit Joshi, Vishwas Rao Salunkhe, Shashwat Agrawal, Prof.(Dr) Punit Goel, & Vikhyat Gupta,. (2022). Optimizing Ad Performance Through Direct Links and Native Browser Destinations. International Journal for Research Publication and Seminar, 13(5), 538–571. https://doi.org/10.36676/jrps.v13.i5.1528.
• Sivaprasad Nadukuru, Rahul Arulkumaran, Nishit Agarwal, Prof.(Dr) Punit Goel, & Anshika Aggarwal. 2022. “Optimizing SAP Pricing Strategies with Vendavo and PROS Integration.” International Journal for Research Publication and Seminar 13(5):572–610. https://doi.org/10.36676/jrps.v13.i5.1529.
• Nadukuru, Sivaprasad, Pattabi Rama Rao Thumati, Pavan Kanchi, Raghav Agarwal, and Om Goel. 2022. “Improving SAP SD Performance Through Pricing Enhancements and Custom Reports.” International Journal of General Engineering and Technology (IJGET) 11(1):9–48.
• Nadukuru, Sivaprasad, Raja Kumar Kolli, Shanmukha Eeti, Punit Goel, Arpit Jain, and Aman Shrivastav. 2022. “Best Practices for SAP OTC Processes from Inquiry to Consignment.” International Journal of Computer Science and Engineering 11(1):141–164. ISSN (P): 2278–9960; ISSN (E): 2278–9979. © IASET.
• Pagidi, Ravi Kiran, Siddhey Mahadik, Shanmukha Eeti, Om Goel, Shalu Jain, and Raghav Agarwal. 2022. “Data Governance in Cloud Based Data Warehousing with Snowflake.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 10(8):10. Retrieved from https://www.ijrmeet.org.
• 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
• Phanindra Kumar, Shashwat Agrawal, Swetha Singiri, Akshun Chhapola, Om Goel, Shalu Jain. “The Role of APIs and Web Services in Modern Procurement Systems,” IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume 9, Issue 3, Page No pp.292-307, August 2022, Available at: http://www.ijrar.org/IJRAR22C3164.pdf
• Rajas Paresh Kshirsagar, Rahul Arulkumaran, Shreyas Mahimkar, Aayush Jain, Dr. Shakeb Khan, Prof.(Dr.) Arpit Jain. “Innovative Approaches to Header Bidding: The NEO Platform,” IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume 9, Issue 3, Page No pp.354-368, August 2022, Available at: http://www.ijrar.org/IJRAR22C3168.pdf
• Phanindra Kumar Kankanampati, Siddhey Mahadik, Shanmukha Eeti, Om Goel, Shalu Jain, & Raghav Agarwal. (2022). Enhancing Sourcing and Contracts Management Through Digital Transformation. Universal Research Reports, 9(4), 496–519. https://doi.org/10.36676/urr.v9.i4.1382
• Satish Vadlamani, Raja Kumar Kolli, Chandrasekhara Mokkapati, Om Goel, Dr. Shakeb Khan, & Prof.(Dr.) Arpit Jain. (2022). Enhancing Corporate Finance Data Management Using Databricks And Snowflake. Universal Research Reports, 9(4), 682–602. https://doi.org/10.36676/urr.v9.i4.1394
• Satish Vadlamani, Nanda Kishore Gannamneni, Vishwasrao Salunkhe, Pronoy Chopra, Er. Aman Shrivastav, Prof.(Dr) Punit Goel, & Om Goel. (2022). Enhancing Supply Chain Efficiency through SAP SD/OTC Integration in S/4 HANA. Universal Research Reports, 9(4), 621–642. https://doi.org/10.36676/urr.v9.i4.1396
• Satish Vadlamani, Shashwat Agrawal, Swetha Singiri, Akshun Chhapola, Om Goel, & Shalu Jain. (2022). Transforming Legacy Data Systems to Modern Big Data Platforms Using Hadoop. Universal Research Reports, 9(4), 426–450. https://urr.shodhsagar.com/index.php/j/article/view/1379
• Satish Vadlamani, Vishwasrao Salunkhe, Pronoy Chopra, Er. Aman Shrivastav, Prof.(Dr) Punit Goel, Om Goel. (2022). Designing and Implementing Cloud Based Data Warehousing Solutions. IJRAR – International Journal of Research and Analytical Reviews (IJRAR), 9(3), pp.324-337, August 2022. Available at: http://www.ijrar.org/IJRAR22C3166.pdf