Remove 2007 Remove Data Architecture Remove Measurement Remove Risk Management
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. Refer to Using the Amazon Redshift data source to learn about how to configure Amazon Redshift as a data source for Grafana. For instructions, refer to Deleting a stack on the AWS CloudFormation console.

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BI Data Lineage Solutions: Your Trusted Guide For Success

Octopai

One example is the lineage methods that the banking industry has adopted to comply with regulations put in place following the 2007 financial collapse. It required banks to develop a data architecture that could support risk-management tools. Automated Data Lineage Enables Data Teams to Deliver Faster Results.

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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.