How can you ensure the security, governance, and compliance aspects of deployment when working with modern data storage and data warehouse platforms?
Ensuring compliance with healthcare regulations like HIPAA and the General Data Protection Regulation (GDPR) is crucial for safeguarding data security and privacy. A governance framework and a customized security architecture should be established using HIPAA-compliant solutions. Robust measures must be implemented for handling personally identifiable information (PII) and protected health information (PHI).
Managing structured, semi-structured, or unstructured data requires careful monitoring during transit and at rest.
Impetus prioritizes data security by building modern data platforms and warehouse solutions in the Amazon Web Services (AWS) cloud, protecting sensitive data throughout its lifecycle. Some common patterns to build a healthcare-compliant secure platform on AWS start from leveraging cloud-native encryption services like Key Management Service (KMS), data distributions across buckets, and AWS Identity and Access Management (IAM) policies for authorized access.
Integration of AWS Lake Formation with active directory enforces data governance rules, while Amazon Simple Storage Service (S3) provides a reliable foundation for data lakes with encryption and access control features. AWS Glue facilitates seamless data processing and movement, and Amazon Relational Database Service (RDS) offers managed services for structured data. Amazon Redshift is a petabyte-scale, fully managed data warehouse with built-in data protection and encryption. ML-based services like Amazon Macie aid in sensitive data discovery and protection.
Restricting sensitive data access and minimizing exposure reduces the compliance footprint for auditing purposes.
Impetus has successfully accelerated healthcare data availability and achieved significant performance improvements through best practices implementation in creating a scalable central data platform. While delivering success with data, we also ensure risk-free, automated transformation of legacy data warehouse, extract, transform, and load (ETL), analytics, and Hadoop to AWS and other native cloud platforms using our automated cloud migration accelerator, LeapLogic. With up to 95% automation, LeapLogic ensures end-to-end transformation and operationalization of all legacy workloads in the cloud with zero business disruption.