Customer Stories / Financial Services
Moody’s Builds Modern Data Solutions and Custom In-House Tools to Deliver Time-Sensitive Data to Investors
Divya Elaty, Moody's senior vice president of Cloud Engineering, discusses how the company uses Amazon Web Services (AWS) solutions such as AWS Glue, Amazon DynamoDB, Amazon Simple Storage Service (Amazon S3), and AWS Step Functions to build modern data solutions and custom in-house tools to meet the company's data needs.
By using serverless frameworks on AWS, Moody’s was able to reduce costs. The resiliency aspects of the cloud helped Moody’s decrease downtime for analysts so they can provide time-sensitive information to investors and consumers.
AWS Services Used
AWS Glue
AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools.
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Amazon S3
Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.
AWS Step Functions
AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.
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