Tag: AWS Marketplace

Teradata has expanded its collaboration with AWS by adding integration capabilities for Teradata Vantage, the data platform for enterprise analytics and AWS cloud services. Vantage, with its NOS read/write connector to Amazon S3 data, already provides data integration with S3 data and Vantage enterprise data. Now, Teradata introduces an API integration with Amazon SageMaker and Amazon Forecast. This enables business users to drive outcomes with real-time analytics.

Sonrai Dig is a platform built from the ground up to solve threats to your cloud through early recognition of significant risks, which can prevent the exploitation and monetizing of your data. With one platform, you get contextual integration of investments in AWS, as well as normalization of those same capabilities across multi-cloud deployments. Together, Sonrai Dig, Amazon Inspector, and Amazon GuardDuty complement each other’s ability to find and categorize risk urgency.

Data centers represent the information bedrock that supports many aspects of the modern economy. When building cloud workloads, the practice of sustainability is to understand environmental impacts like energy consumption and apply best practices to reduce these impacts. Learn why IT operations have become a crucial component of sustainability strategies, and how IBM Turbonomic Application Resource Management (ARM) can help AWS customers with sustainability in the cloud.

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.