Tag: Amazon S3

Enterprises are building data analysis capabilities to extract information captured in data, develop an understanding of their business, and channel efforts towards customer centricity. This post explains the need for operational analytics and how it can be achieved with MongoDB Atlas and Amazon Redshift. MongoDB is an AWS Data and Analytics Competency Partner and developer data platform company empowering innovators to unleash the power of software and data.

Deloitte’s Cloud Managed Services practice helps clients design, build, and operate end-to-end solutions in addition to managing critical business applications running in the cloud. Explore a new feature of AWS Backup for SAP HANA databases running on Amazon EC2, and learn how to integrate HANA database with the AWS Backup service and how to perform a full HANA database backup and restore using AWS Backup.

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.

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.

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.

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.

One of the most exciting evolutions in cloud computing is the proliferation of hybrid cloud and edge computing services. Learn how the Confluent for AWS Wavelength solution was developed to bring Confluent’s data-in-motion technology to the network edge. We’ll demonstrate how the solution extends Confluent for Kubernetes (CFK) to Amazon EKS self-managed nodes in AWS Wavelength Zones to create a geo-distributed Kafka cluster at-scale for industrial IoT and low-latency 5G use cases.