Migration Strategies for Legacy Data Warehousing Systems to Cloud Platforms

Santosh Kumar Singu

Abstract: This article discusses one of the most pressing tasks of transferring traditional data warehousing platforms to modern cloud versions in the context of the critical demand for fast, reasonably priced, innovative data processing systems. They include scalability, cost, and analysis features to understand the key motivators for migration from the above outline. This paper aims to provide the best practice guidelines in assessment and planning, choosing the cloud platform, migration approaches, schema, testing and performance, security, and change management. Setting up the article as a case study, the author demonstrates real - life examples of migrations from Teradata to Amazon Redshift, Netezza to Google BigQuery, and Oracle to Azure Synapse Analytics. Migration After - research also covers the typical issues that repeatedly recur during the migration process and possible ways of avoiding them. The conclusion then contemplates the potential of emerging technologies in data warehouse computing. It focuses on cloud migration as the key to sustaining the edge amid the fast - changing data environment.

Keywords: warehousing, scalability, cost, migration, technologies, and cloud

How to Cite?: Santosh Kumar Singu, "Migration Strategies for Legacy Data Warehousing Systems to Cloud Platforms", Volume 12 Issue 12, December 2023, International Journal of Science and Research (IJSR), Pages: 2164-2167, https://www.ijsr.net/getabstract.php?paperid=SR231207111537, DOI: https://dx.doi.org/10.21275/SR231207111537