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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands.

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Data Strategy in a Working from Home Climate

Peter James Thomas

To provide some more colour, let’s go back to 2007 / 2008. As per the framework that I began to develop as part of this assignment, I needed to speak to a lot of people, both business and technical. I needed to understand what was different about Insurance Markets as diverse as China and Brasil. Notes. . [1].

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How Finance is Leveraging Automated Data Lineage for Regulations Compliance

Octopai

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems.

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