Category: Storage

The challenge for clinicians involves the secure management and analysis of patient data from various medical sensors and monitoring devices. Learn how Vivalink’s Biometrics Data Platform on AWS is transforming patient care through secure, scalable, and intelligent biometric data management.

This blog explores how Cloud Native Qumulo (CNQ) on AWS enables organizations to modernize and scale their cloud-based file storage infrastructure. By leveraging AWS’s cloud-native architecture, CNQ ensures compatibility across hybrid environments, providing cost-efficient, high-performance storage solutions for demanding workloads, including AI, HPC, and large-scale data management.

This blog post discusses how MongoDB has enhanced the indexing capabilities of its Atlas Search service by leveraging HAQM S3. The new approach allows MongoDB to significantly reduce the time required to rebuild search indexes, achieving a 14x improvement compared to the previous method. By periodically capturing snapshots of the search indexes in HAQM S3, MongoDB can quickly restore the latest index state during deployments, scaling, and recovery, improving search availability for customers.

Illumina’s suite of multiomics analysis tools hosted on AWS include capabilities for quality control, data aggregation, and advanced analytics. In this post, we demonstrate how software from Illumina, including DRAGEN™, Illumina Connected Analytics, Correlation Engine, and Illumina Connected Multiomics enable researchers to build scalable, secure analytical pipelines while maintaining security, data privacy, and compliance at scale.

Through the integration of Veeam and AWS security best practices, organizations are equipped to address their regulatory compliance adherence while enhancing overall security resilience when deploying their data protection solution on AWS.

TCS partnered with a leading Australian bank to implement Consumer Data Right (CDR) compliance through an open banking solution, enabling secure data sharing for 400,000+ customers while maintaining existing banking operations. The solution architecture leverages AWS services including HAQM Kinesis Data Streams, AWS DMS, Data Firehose, Glue, and Aurora MySQL to process 6 million records daily in real-time, with comprehensive security controls and 99.99% uptime. The implementation demonstrates TCS’s expertise in creating scalable, secure enterprise data platforms that enable financial institutions to modernize their data streaming capabilities while protecting core operations and meeting regulatory requirements.

The financial services industry stands at a crossroads between speed and security. Despite the digital revolution, document-based verification remains king – creating a bottleneck that impacts both operational efficiency and fraud prevention. This paradox affects everything from payment processing to lending and insurance claims management, challenging institutions to find innovative solutions. In this blog we cover how Fortiro’s solutions streamline document verification while strengthening fraud prevention.

The integration of artificial intelligence (AI) technologies is rapidly gaining momentum across various industries, offering a variety of business advantages. However, without implementing robust AI security measures, organizations may face substantial risks, including model poisoning and sensitive data breaches. Learn how Orca Security provides effective strategies to mitigate and prevent these potential threats.

Palo Alto Networks faced challenges processing IoT security data at scale. They partnered with AWS to implement a new architecture using HAQM Redshift. This solution improved data processing speeds and created a dedicated pipeline for device data. Key outcomes included 50% faster API responses, real-time data aggregations, 40% infrastructure cost reduction, and improved system resilience. The new architecture enhanced Palo Alto Networks’ ability to serve customers and explore emerging technologies, reinforcing their leadership in IoT security.

Discover how EPAM’s Collaborative Omics Research Accelerator™ (CORA™), powered by AWS HealthOmics, enables life sciences organizations to accelerate omics research through scalable, cost-effective data analysis. Learn how this solution addresses the challenges of exponential genomic data growth while providing a user-friendly, secure, and GxP-ready environment for analyzing and correlating omics data at scale.