Category: Learning Levels

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.

Provectus developed a comprehensive data quality assurance (Data QA) solution that it offers customers as a blueprint for assuring data quality. Learn how Provectus built a high-load data quality pipeline on AWS for Lane Health’s data platform, while meeting the requirements for rapid innovation, performance, security, and cost-efficiencyLane Health gained the ability to track if and when its data deteriorated during transformation and understand the quality of data, and to explore and detect weak spots in data.

In a manufacturing process, reports are critical for tracing problems and improvement. Technologies such as Industrial IoT (IIoT) can help companies improve reporting accuracy and traceability during the manufacturing process. Learn how Metrodata’s solution architecture aims for easy access as a reliable, durable, secure platform so customers no longer need to think about problems that may arise due to limited storage and lack of computing capabilities.

Monitoring inventory status and counts across various locations is key to inventory management. Internet of Things (IoT) sensors allow organizations to view and maintain the supply levels they need, when and where they need them, and ensure they are stored properly along the way. Learn how the AWS Executive Briefing Center (EBC) in Seattle is using AWS IoT sensor technology, along with integrations from CloudRail, to proactively monitor meeting room beverage inventory.

In the post-pandemic era, however, consumers are increasingly less likely to interact with agents in traditional ways. By following the creed of “intuition engineered” while partnering with Unqork and AWS, Cognizant developed a new consumer interaction model to life. Learn how the Cognizant eApp Collaboration Solution, built on Unqork’s codeless development platform using AWS serverless architecture, brings increased engagement and productivity to the virtual new business experience.

Alkira Cloud Area Networking helps customers fully embrace the benefits of AWS, as Alkira automates the tedious tasks required to connect enterprise WAN to the cloud. There is no hardware to buy, no agents to install, and it’s entirely delivered as a service. Alkira opens up possibilities for networking teams to be more agile, nimble, and to no longer be the bottleneck in the cloud adoption journey for organizations.

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.