The first blog post in this series outlined considerations for developing API pipelines on AWS to extract data from third-party SaaS tools. With consolidated data, public sector organizations can offer new experiences for donors and members, enrich research datasets, and improve operational efficiency for their staff. This follow-up blog post presents options for ingesting SaaS data with API requests from AWS services, methods for handling payload data from API calls, and guidance for orchestration and scaling an API data pipeline on AWS.
Public sector organizations often utilize third-party Software-as-a-Service (SaaS) to manage various business functions, such as marketing and communications, payment processing, workflow automation, donor management, and more. This common SaaS landscape can lead to data silos where data becomes isolated in disparate systems and difficult to centralize for business insights. If existing SaaS connectors are not available, public sector organizations can use AWS to build an API-driven data pipeline to consolidate data from SaaS platforms offering open APIs. In this post, learn how to build an API data pipeline on AWS.
Implement a secure, serverless GraphQL architecture in AWS GovCloud (US) to optimize API flexibility and efficiency
GraphQL is a query language and server-side runtime system for application programming interfaces (APIs) that prioritizes giving clients exactly the information they request and no more. GraphQL can help public sector customers focus on their data and provide ways to explore the data in their APIs. Learn a reference architecture using serverless technologies that you can use to build GraphQL-enabled solutions in the AWS GovCloud (US) Regions to unify data access in real-time and simplify operations.
Civix, a government technology (GovTech) company and AWS Partner, uses AWS to provide software and services that support multiple public sector use cases, including election management, grants management, and more. Civix saw an opportunity to streamline how filers and third-party vendors manage and report disclosure data to states. Civix worked with the AWS Service Creation team to design and launch a serverless solution on AWS to support filers and campaign management vendors and to increase finance transparency for the constituents they serve.
Oxford University Press (OUP) is a department of the University of Oxford and the largest university press in the world. In 2015, OUP launched the Oxford Global Languages (OGL) initiative aiming to build lexical resources for 100 of the world’s languages and make them freely available online. OUP knew that on-premises solutions wouldn’t provide the scalability and flexibility required for developing an MVP and expanding it in case of success. OUP chose Amazon Web Services (AWS) because it matched the requirements around scalability and flexibility, provided managed services for storing and accessing data securely, and offered options for deployment and automation.