Case Study: S&P Capital IQ achieves rapid, scalable, and secure Hadoop analytics with Amazon Web Services

A Amazon Web Services Case Study

Preview of the S&P Capital IQ Case Study

S&P Capital IQ - Customer Case Study

S&P Capital IQ provides multi‑asset class data, research, and analytics to institutional investors and wealth managers. The company needed to evaluate Hadoop-based analytics while integrating with an extensive in‑house IT environment, and required a way to prototype quickly, scale compute for large data processing, and maintain strict security and access controls.

By adopting AWS services such as Amazon EMR, EC2, and S3, S&P Capital IQ can push and pull data via HTTPS, run configurable Hadoop clusters on demand, and use SSL and server‑side encryption to protect data in transit and at rest. The move delivered rapid prototyping without hardware procurement, flexible, scalable processing for big‑data experiments, and a secure foundation that the team plans to use for ongoing analyses.


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S&P Capital IQ

Jeff Sternberg

Chief Data Scientist


Amazon Web Services

2483 Case Studies