As modern data-driven organisations increasingly look to use cloud services to drive growth and innovation, Amazon Web Services (AWS) is a recognised leader, providing a comprehensive, secure, scalable, and cost-effective portfolio of services that empowers enterprises to get the most value from their data by building in the cloud.
But data privacy concerns affect the willingness and ability of organisations to fully leverage their data for the numerous and varied analytics use cases that are possible in the cloud. Tightened regulation around personal data, fear of data breaches, and trust and brand reputation issues are all stifling the faster and broader adoption of cloud services.
Privitar software addresses the risks inherent in accessing sensitive data and reduces obstacles to cloud adoption.
Deploying Privitar on AWS is straightforward. Privitar’s solution is designed and built according to the AWS Well-Architected Framework and works seamlessly with the flexibility and richness of AWS services. Once privacy-enhanced data is ready for the cloud, AWS makes it easy to store data in any format, securely, and at massive scale.
Data transformed by Privitar can be utilised for the wide range of use cases enabled by AWS – including interactive analysis, big data processing using Hadoop and Spark, data warehousing, real-time analytics, operational analytics, dashboards, and visualisations – with a broad and cost-effective set of analytic services that run on the data lake, each purpose-built for its analytic function.