Articles
| Open Access |
DOI: The Modern CPG Data Stack: Building End-To-End Analytics on Azure, Snowflake, And Dbt
Supriya Gandhari , Independent Researcher , USAAbstract
Consumer Packaged Goods (CPG) firms encounter distinct obstacles in handling the extensive data produced from sales, supply chains, customer interactions, and market patterns. To tackle these obstacles, organizations are progressively implementing a contemporary data stack. This document examines how using Microsoft Azure, Snowflake, and DBT technologies can create a comprehensive analytics stack that improves scalability, data transformation, and decision-making processes. The paper outlines the technical framework, best practices, and real-world examples that showcase the implementation of this modern CPG data stack. By utilizing cloud-based solutions, businesses can enhance operational efficiency, automate data processes, and acquire more profound insights. We will investigate performance metrics, security risks, cost-efficiency methods, and forthcoming trends that influence the advancement of CPG analytics.
Keywords
Modern Data Stack, DBT, Snowflake, Azure Data Factory
References
Kimball, R., & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (3rd ed.). Wiley.
Giebler, C., Grunert, A., Saake, G., & Szamél, M. (2019). Big Data Processing with Apache Spark in the Cloud. Journal of Big Data, 6(1), 1–22. https://doi.org/10.1186/s40537-019-0200-7
Snowflake Inc. (2022). Modern Data Architecture for the Cloud. Retrieved from https://resources.snowflake.com
Raj, P., & Raman, A. (2018). Cloud-native data warehouse architecture: A study of Snowflake computing. In Proceedings of the 5th International Conference on Data Engineering and Communication Technology (pp. 503–511). Springer.
Fishtown Analytics. (2020). What is dbt (data build tool)? Retrieved from https://docs.getdbt.com/docs/introduction
Microsoft Azure. (2023). What is Azure Data Factory?. Retrieved from https://learn.microsoft.com/en-us/azure/data-factory/introduction
Gartner. (2022). Magic Quadrant for Cloud Database Management Systems. Retrieved from https://www.gartner.com
Redpoint Ventures. (2021). The Rise of the Modern Data Stack. Retrieved from https://tomtunguz.com/modern-data-stack
dbt Labs. (2023). How dbt fits into the Modern Data Stack. Retrieved from https://www.getdbt.com/blog/
Deloitte. (2021). Data modernization: How to build a modern data architecture. Retrieved from https://www2.deloitte.com
Article Statistics
Downloads
Copyright License
Copyright (c) 2025 Supriya Gandhari
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.