AWS Partner Network (APN) Blog
Tag: Data Visualization
Rapid Accelerators for SAP Business Content with the Atos AWS Data Lake Accelerator for SAP
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.
AI-Driven Analytics on AWS Using Tableau and Amazon SageMaker
Organizations that have foresight into their business have a competitive advantage. Advanced analytics that enable foresight have historically required scarce resources to develop predictive models using techniques like machine learning. Traditionally, this is a difficult endeavor, but recent progress in ML automation has made democratization of ML a possibility. Learn about the value of augmenting analytics with ML through the Amazon SageMaker for Tableau Quick Start.
Automatically Visualize and Monitor Applications on Amazon EKS with Instana
The shift from a traditional Service Oriented Architecture (SOA) to microservices running on Kubernetes has given rise to a new set of challenges. To avoid blind spots, engineers need visibility into the dependencies between different microservices at the individual request level. Learn how Instana has fully automated the installation of the monitoring agent into Kubernetes, and how it helps monitor containerized workloads in Amazon EKS.
Performant Access to Your Geoscience Data in the Cloud Using OSDU and IVAAP
Many oil & gas operators need near-instant access to their geoscience data. Unfortunately, most subsurface applications provide only a limited, fragmented view of data. INT’s data visualization platform IVAAP uses OSDU on AWS to enable users who want to optimize this and other workflows. The IVAAP platform offers a single point of access to search, interact with, analyze, and visualize multiple petrotechnical data sources in a single web-based application.
Interactive Scientific Visualization on AWS with NVIDIA IndeX SDK
Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.
Gathering Market Intelligence from the Web Using Cloud-Based AI and ML Techniques
Many organizations face the challenge of gathering market intelligence on new product and platform announcements made by their partners and competitors—and doing so in a timely fashion. Harnessing these insights quickly can help businesses react to specific industry trends and fuel innovative products and offerings inside their own company.Learn how Accenture helped a customer use AWS to gather critical insights along with key signals and trends from the web using AI and ML techniques.
How to Visualize and Monitor Your AWS Container Fleet with Datadog
To fully leverage the versatility and scalability of containers, you need a monitoring solution capable of providing clarity into a highly dynamic environment comprising thousands (or even tens of thousands) of ephemeral containers. Learn how Datadog provides visibility into dynamic, ephemeral container workloads running on Amazon EKS, a service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.
How Sisense Simplifies Complex Data Analytics for Analysts and Developers
Organizations these days are inundated with data. Learn how engineers and analysts can handle the critical challenges of gaining insights from large and complex data sources while also democratizing data for improved adoption across the organization. The Sisense platform simplifies end-to-end data and analytics, reducing time-to-insights by empowering data and IT teams to build advanced data models and perform advanced analysis for their needs.