Remove 2007 Remove Data Architecture Remove Metrics Remove Risk Management
article thumbnail

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.

article thumbnail

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.

Finance 52
article thumbnail

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.