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Analysis Study Research Paper | Information Technology | United States of America | Volume 13 Issue 2, February 2024 | Rating: 5.4 / 10
Real-Time Data Integration in the Cloud with Informatica PowerCenter: A Practical Approach
Santosh Kumar Singu
Abstract: Real-time data integration from sources becomes critical in today's world to make efficient decisions for industries across finance, health, and retail. Informatica PowerCenter is considered one of the fastest and most fully featured Transform, Load (ETL) tools that face many challenges in real-time cloud integrations through Snowflake and Microsoft Azure, among many more. This assignment looks at a study of how real-time cloud integration is enabled by Informatica PowerCenter, as well as its architecture, features, and applicability [8]. With the key features of Change Data Capture (CDC), parallel processing, and workflow automation, PowerCenter manages high-frequency data ingestion with minimum latency and data consistency. We discuss some of the critical challenges around latency, security, and cost management and review the functionality of PowerCenter in the cloud, which is a scalable platform that allows compliance with industry standards. These findings show that with the integration of cloud platforms, PowerCenter can take the real-time processing of data further, thereby providing a scalable solution to organizations for pursuing analytics on the cloud. Many case studies in the financial and healthcare industries focus on how the PowerCenter toolset can drive operational efficiencies and timely decision-making. Therefore, this suggests that future advanced automation and machine learning integration would be recommended in this sphere of research at PowerCenter, optimizing real-time data integration.
Keywords: Real-time data integration, Informatica PowerCenter, Snowflake, Microsoft Azure, ETL
Edition: Volume 13 Issue 2, February 2024,
Pages: 1886 - 1891