Data Normalization and Schema Evolution for Ticker Symbol Insights

Authors

  • Shreyansh Sharma Senior Software Engineer Texas, USA. Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V7I1P109

Keywords:

Ticker Symbol Management, Data Normalization, Schema Evolution, Financial Data Architecture, Identifier Mapping, Data Quality, Regulatory Compliance, Financial Databases

Abstract

In this paper, the author will analyze the manner in which the data normalization and schema evolution enhance the management of ticker symbols in financial systems. It points to the constraints of the conventional flat and poorly normalized designs to manage corporate actions and identifier changes and be historically accurate. The study uses normalization to 3NF plus bi-temporal extensions with expand-migrate-contract schema evolution patterns to show how financial databases can ensure superior data integrity, regulations compliance and scalability of the systems. The results offer effective architectural principles of creating robust, scalable, and quality infrastructures of financial reference data.

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Published

2026-01-26

Issue

Section

Articles

How to Cite

1.
Sharma S. Data Normalization and Schema Evolution for Ticker Symbol Insights. IJETCSIT [Internet]. 2026 Jan. 26 [cited 2026 Feb. 10];7(1):63-72. Available from: https://www.ijetcsit.org/index.php/ijetcsit/article/view/559

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