Browse past weeks of engineering reads.
How to implement secure, standardized data sharing across organizational boundaries while maintaining compliance with IDSA standards and the Dataspace Protocol.
S&P Global needed to implement a disaster recovery strategy for their Capital IQ platform that could achieve rapid failover to a secondary region while maintaining data consistency for mission-critical financial operations.
Data pipelines suffer from duplicated transformation logic and cascading changes across multiple workflows as they scale from simple scripts to complex systems.
Avanse Financial Services needed to unify fragmented data engineering, analytics, and AI workflows across separate systems while maintaining governance and scalability for financial analytics.
Converting unstructured scanned PDF medical records into standardized, machine-readable FHIR R4-compliant healthcare data at scale.
Organizations needed a unified framework to architect solutions that effectively integrate AWS cloud services with Snowflake's data platform while following best practices for both.
Amazon Cognito lacks native search capabilities, making it difficult to build scalable user discovery and search features in applications.
Building Oracle database architectures that minimize recovery time and maximize availability while leveraging cloud infrastructure.
Oldcastle needed to overcome the limitations of traditional ERP reporting to enable real-time analytics and dashboards for their Infor ERP system.