Architecture Patterns for the Next-generation Data Ecosystem

| December 29, 2017

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Transforming IT systems, specifically regulatory and compliance reporting applications has become imperative in a rapidly evolving global scenario. Business transparency and confidentiality, information security, improved data quality for monitoring and compliance, and advanced predictive capabilities form the focus of regulatory activity in the financial services industry. Financial institutions need to consistently meet these objectives in the normal course as also during stress or crisis scenarios. Traditionally, enterprise data management solutions with traditional data warehouses and Business Intelligence (BI) applications served as the foundation for banks’ information needs. However, new technologies in the Big Data space demand a reengineer of these platforms to meet the ever-growing demand for better performance, scalability, and availability. This paper discusses the challenges inherent to the traditional data ecosystems, the architectural approaches available to address these challenges, and the roadmap for building next-generation data ecosystems

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