OPTIMIZING FUNNEL ANALYSIS IN MODERN DATA WAREHOUSES
Keywords:
Database Scaling Strategies, Vertical Vs, Horizontal Scaling, Distributed Database Systems, Cloud-Native Databases, Serverless Database ArchitectureAbstract
This article explores the implementation of funnel analysis in modern data warehouses, focusing on its importance for product managers in understanding and optimizing user journeys. It delves into the mechanics of funnel analysis, discussing two primary approaches: the Join Sequence and Stacked Window Functions methods. The article examines various query optimization techniques modern data warehouses employ, including common subexpression elimination, aggregate pushdown, and efficient handling of window functions. Additionally, it addresses performance considerations for both approaches, highlighting the benefits of pre-computed join indices and table clustering. Throughout, the article emphasizes the critical role of funnel analysis in driving data-driven decision-making and product success in today's competitive business landscape.
References
M. T. Özsu and P. Valduriez, "Principles of Distributed Database Systems, Fourth Edition," Springer, 2020. [Online]. Available: https://doi.org/10.1007/978-3-030-26253-2
IBM, " Cloud scalability: Scale-up vs. scale-out”. [Online]. Available: https://www.ibm.com/think/topics/scale-up-vs-scale-out
J. C. Corbett et al., "Spanner: Google's Globally Distributed Database," ACM Transactions on Computer Systems, vol. 31, no. 3, pp. 1-22,
Aug. 2013. [Online]. Available: https://doi.org/10.1145/2491245
A. J. Elmore et al., "Squall: Fine-Grained Live Reconfiguration for Partitioned Main Memory Databases," in Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015, pp. 299-313. [Online]. Available: https://doi.org/10.1145/2723372.2723726
J. Schleier-Smith, V. Sreekanti, A. Khandelwal, J. Carreira, N. J. Yadwadkar, R. A. Popa, J. E. Gonzalez, I. Stoica, and D. A. Patterson, "What Serverless Computing Is and Should Become: The Next Phase of Cloud Computing," Communications of the ACM, vol. 64, no. 5, pp. 76-84, May
[Online]. Available: https://doi.org/10.1145/3406011
M. Stonebraker, "SQL databases v. NoSQL databases," Communications of the ACM, vol. 53, no. 4, pp. 10-11, Apr. 2010. [Online]. Available: https://doi.org/10.1145/1721654.1721659
X. Lu, D. Shankar, S. Gugnani, and D. K. Panda, "High-Performance Design of Apache Spark with RDMA and Its Benefits on Various Workloads," in 2016 IEEE International Conference on Cluster Computing (CLUSTER), 2016, pp. 94-103. [Online]. Available: https://ieeexplore.ieee.org/document/7840611
D. Abadi, "Consistency Tradeoffs in Modern Distributed Database System Design: CAP is Only Part of the Story," Computer, vol. 45, no. 2, pp. 37-42, Feb. 2012. [Online]. Available: https://doi.org/10.1109/MC.2012.33
E. Brewer, "CAP twelve years later: How the "rules" have changed," Computer, vol. 45, no. 2, pp. 23-29, Feb. 2012. [Online]. Available: https://doi.org/10.1109/MC.2012.37
W. Cao, Y. Chen, X. Chen, Y. Du, J. Guo, T. Jiang, L. Liu, and Y. Tang, "PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers," in Proceedings of the 2021 International Conference on Management of Data (SIGMOD '21), 2021, pp. 2477-2489. [Online]. Available: https://doi.org/10.1145/3448016.3457560
M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, "A View of Cloud Computing," Communications of the ACM, vol. 53, no. 4, pp. 50-58, Apr. 2010. [Online]. Available: https://doi.org/10.1145/1721654.1721672
A. Verbitski, A. Gupta, D. Saha, M. Brahmadesam, K. Gupta, R. Mittal, S. Krishnamurthy, S. Maurice, T. Kharatishvili, and X. Bao, "Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases," in Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD '17), 2017, pp. 1041-1052. [Online]. Available: https://doi.org/10.1145/3035918.3056101
M. T. Özsu, P. Valduriez, Y. C. Tay, C. Yao, and T. Luo, "Distributed database systems: Where are we now?," IEEE Computer, vol. 54, no. 5, pp. 54-62, May 2021. [Online]. Available: https://ieeexplore.ieee.org/document/84879
J. M. Hellerstein, J. Faleiro, J. E. Gonzalez, J. Schleier-Smith, V. Sreekanti, A. Tumanov, and C. Wu, "Serverless Computing: One Step Forward, Two Steps Back," in CIDR 2019 - 9th Biennial Conference on Innovative Data Systems Research, 2019. [Online]. Available: http://cidrdb.org/cidr2019/papers/p119-hellerstein-cidr19.pdf
