AWS Partner Network (APN) Blog
Category: Analytics
Modernizing Data Platforms, Accelerating Innovation, and Unlocking Business Value with Data Mesh on AWS
To sustain innovation and drive business value, organizations are realizing the importance of decentralization of data products using a data mesh architectural design approach. Experts from AWS and IBM explain how to set the right balance of business ownership using data mesh to modernize data platform and accelerate innovation. We’ll also describe referenceable techniques to build data mesh solutions using AWS native services including Amazon DataZone, AWS Lake Formation, and AWS Glue.
3 Simple Ways to Use FactSet’s Financial Data in AWS Workflows
Many institutions in financial services are in the early stages of their cloud journey. While each has their own IT landscape and cloud strategy, one question is common among many organizations: “How can I simplify my data ingest pipelines?” FactSet is a leading provider of financial services market and alternative data that can help consumers access their data in simple and scalable ways, while removing the administrative tasks that do not add value to the business.
Accelerate Your Analytics Journey on AWS with DXC Analytics and AI Platform
Rapid changes in business intelligence and analytics solutions means companies are continually over-investing in solutions that rapidly age. With DXC Technology’s Analytics and AI Platform (AAIP), you can develop and deploy new analytics applications in weeks. Learn about the features and benefits of AAIP, which helps you look further and deeper, gaining business insights from data you could not previously access or manage.
Subscribe and Ingest AWS Data Exchange Data into Databricks and Visualize it with Amazon QuickSight
Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.
Automate Data Sharing with Collibra and AWS Lake Formation
Enterprise data consumers often have difficulty discovering usable and trusted data. Learn how Collibra and AWS are collaborating to develop products and capabilities that facilitate data intelligence. Inovations include new capabilities that make it easier to migrate data and workloads to the cloud, as well as enhancements to search, collaboration, business process automation, and analytics. There are also new integrations that assist customers with data access, data governance, data quality, and observability in the cloud.
Accelerating Healthcare Data Management for Digital Transformation with Emids CoreLAKE
Healthcare organizations are looking to implement an approach for re-engineering existing architectures to iteratively adopt new technologies, and establish seamless integrations with existing systems internally as well as with their partner and client ecosystems. Emids CoreLAKE is a low-code data management platform built by practitioners with years of experience in healthcare. It’s a suite of accelerators with pre-built capabilities having specific focus on accelerating the data modernization agenda.
Using Computer Vision to Enable Digital Building Twins with NavVis and AWS
Managing existing brownfield buildings is a challenging task because teams usually lack accurate ground truth data. Object detection algorithms are a key technology to automate and scale the creation of a digital building twin, providing a solution to this challenge. For detecting objects in indoor environments with machine learning, learn how NavVis and AWS collaborated to build a digital building twin for a large industry customer.
Building Multi-Edge Data Architectures on AWS Wavelength and MongoDB
With the advent of high-speed 5G networks, enterprises have sought to deliver low-latency experiences across industrial Internet of Things IoT (IIoT), media and entertainment, automotive, and beyond. At the core of these low latency experiences is data. This post builds on an earlier demonstration of MongoDB Realm on AWS Wavelength by amplifying the existing architecture with new features, and shows how to use the AWS Load Balancer Controller to deploy an Application Load Balancer in front of the database.
Protecting Sensitive Data with Collibra Protect and AWS Lake Formation
Ensuring the security and proper management of sensitive information is paramount, and Collibra Protect and AWS Lake Formation offer a powerful combination to address the growing challenges of enterprise data access governance. Learn how Collibra Protect, part of the Collibra Data Intelligence Cloud, protects sensitive data and makes it available to specified groups of users. AWS Lake Formation is a fully managed serverless service that allows you to build clean and secure data lakes in days.
Introducing Industry Blueprints for Data & AI to Help AWS Partners Accelerate Solution Development
Designing industry blueprints is driven by the need to address various challenges in package development for industry solutions. AWS Industry Blueprints for Data & AI (Preview) is an open-source initiative from that offers a collection of building components, including code modules and solution accelerators, to facilitate the configuration and deployment of tailored components for various industry verticals’ turn-data-to-insights needs.