Financial institutions rely on data to create new products, manage risk, and make informed business decisions. However, it can be challenging and time-consuming to access data that is dispersed across on-premises and public cloud data stores and distributed by third-party vendors. In this session, learn how Goldman Sachs engineered its Goldman Sachs Financial Cloud for Data—a cloud-native, modular, and integrated collection of services—to run distributed server-side analytics and enrich data in real time and stream and analyze time-series data (also in real time) by ingesting relational data using AWS Data Exchange, Amazon Redshift, AWS Glue, and the FINOS Legend open-source platform.
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