Tag: AWS Marketplace

Security is job zero at AWS and is one of the most important design principles of a Well-Architected Framework. Learn how to implement a 5G end-to-end security model based on Zero Trust principles using Palo Alto Networks’ 5G-native security solution for highly distributed and cloud-native 5G networks—with containerized 5G security and real-time threat correlation among 5G users, device identifiers, and a 5G network slice.

Many SAP enterprise customers have deployed data lakes to optimize manufacturing outcomes, track business performance, improve forecast, and accelerate product lifecycle management. The initial process of data extraction involves bringing data from commercial off-the-shelf (COTS) applications and non-COTS applications. Learn how the Atos AWS Data Lake Accelerator for SAP helps customers build a scalable data lake for SAP systems such as SAP S4/HANA or SAP ECC.

Once data is available in Amazon Redshift Serverless, businesses typically look at ways to turn data into business insights. This is where modern analytics providers such as ThoughtSpot provide value. With its powerful AI-based search, live visualizations, and developer tools and APIs for sharing embedded analytics, ThoughtSpot democratizes access to data by providing self-service tools for all users. Learn how to create a connection between Amazon Redshift Serverless and ThoughtSpot.

IBM Z and Cloud Modernization Stack on AWS provide a cloud-native experience to modernize development practices, helping developers adopt a unified set of tools and DevOps methodology. Learn how the Wazi components available in IBM Z and Cloud Modernization Stack provide modern experiences for analyzing, developing, and testing mainframe applications in an isolated way, implementing the DevOps philosophy for developers to gain speed and flexibility.

We know that data can help organizations get closer to customers and unlock new revenue streams. But in order to monetize data, companies need to be able to trust it. Collibra Data Intelligence Cloud helps organizations build trust in data across any source, for any user. Learn how Collibra Data Quality (DQ) on AWS is core to this solution, enabling organizations to get the added benefit of cloud-scale combined with a rich set of features.

IT teams are always exploring solutions to increase their existing investments and looking for solutions that answer business needs in line with IT objectives. Learn the benefits of adopting a composable customer data platform (CDP), discover ActionIQ’s Customer Experience (CX) Hub, and understand how ActionIQ and Amazon Redshift enable a composable CDP. This helps technical teams extend and enhance existing technology investments to manage data governance, costs and performance.

As the adoption of Amazon EKS for running Kubernetes clusters grows, customers are seeking ways to better understand and control their costs. To address these customer needs and shed more light on EKS costs, AWS has collaborated with Anodot, an AWS Partner that uses machine learning to autonomously monitor and alert on costs in near real time, and provides recommendations to help customers quickly resolve cost anomalies.

Federated learning (FL) addresses the need of preserving privacy while having access to large datasets for machine learning model training. The NVIDIA FLARE (which stands for Federated Learning Application Runtime Environment) platform provides an open-source Python SDK for collaborative computation and offers privacy-preserving FL workflows at scale. NVIDIA is an AWS Competency Partner that has pioneered accelerated computing to tackle challenges in AI and computer graphics.

Learn how the Heimdall Database Proxy can be configured to provide customer query routing for Amazon RDS for Postgres, although any SQL database type including Amazon Redshift can be supported. This provides a single Heimdall Proxy endpoint to access data for multiple customers from multiple databases, transparently. Heimdall Data provides functionality needed to support many complex database environments, and solves many of the challenges in scaling database access.

Platea Banking is a digital banking solution developed by NTT DATA to be used by clients as an accelerator in their modernization journeys, especially when creating a new banking platform. It’s positioned as a modernization vehicle that provides a ready-to-go digital infrastructure and architecture over both internal and external components as core. Platea includes pre-built functional modules and integrations with a third-party ecosystem, with Mambu at its heart as a core engine.