Tag: Amazon S3

Ahana provides a fully managed and easy-to-use service for running Presto on AWS, and customers like Metropolis use Ahana to query data in their Amazon S3-based data lake for business intelligence, ad-hoc analytics, and reporting. Learn how Metropolis uses AWS Lake Formation and Ahana to build a data lake that allows their analysts and data scientists to develop a simple, hands-free parking experience for their customers.

Serverless technologies have matured a lot over the years, and it’s easier than ever to deploy the entire stack of applications using serverless and AWS managed services. Infosys is seeing enterprises across industries take advantage of the power of serverless architecture for a variety of use cases. Learn how serverless architecture on AWS can help enterprises modernize their application landscape, along with common use cases and some reference architectures.

As data grows at an exponential rate both in volume and velocity, it becomes important for organizations to carve out a strategy to store data in appropriate locations with the correct safeguards to address data access and privacy concerns. Learn how organizations can transform their data landscape into a more controlled, flexible, and secure landscape using LTI’s Canvas Scarlet Data Mesh framework built on AWS to meet the data challenges an organization faces today.

By powering personalized, relevant, and timely digital interactions built on guest behavior data, Braze can help AWS lodging customers generate additional revenue and engage guests for the long run using personalization. Learn how a hotel customer can rapidly and simply transform their web booking engine into a digital user engagement solution offering a personalized booking experience including upsell capabilities.

CAD on the cloud delivers the same, if not better, performance than on-premises setup. For enterprises, it will be a paradigm shift to have their CAD/CAE workload on the cloud, especially using Amazon AppStream 2.0. Learn about Infosys’ flagship Cobalt program, one of the largest service providers in engineering and design, with decades of experience helping customers leverage AWS to optimize cost and performance.

In construction, new methods of capturing site information, such as laser scanning, photogrammetry, drone photography, and continuous video monitoring have presented challenges for file storage, analysis, and archiving. Learn how the Nasuni Analytics Connector can help architecture, engineering, and construction customers gain business insight from file data, while using many of the network-attached storage they’re familiar with.

Data is the most important resource available to modern institutions. The challenge is not necessarily generating, cataloging, or storing data, but operationalizing it. Palantir Foundry is an operations platform that leverages existing data systems and analytics tooling to power smarter decision-making. Learn how Palantir HyperAuto can rapidly integrate data from ERP systems and operationalize that existing data against pressing business problems.

The zero-cost Amazon Sustainability Data Initiative (ASDI) seeks to accelerate sustainability research and innovation by minimizing the cost and time required to analyze large sustainability datasets. In this post, we’ll use Snowflake, a data cloud company, to work with two different ASDI datasets containing climate and air quality data. We’ll demonstrate how to access ASDI datasets, join them together by date, and ultimately form a merged result.

In the digital-first era, being a content platform means serving thousands of requests per second to users all over the world. Learn how Contentful delivers media files using Amazon CloudFront with Lambda@Edge, achieving low latency on every region worldwide while also running custom-code at the edge that enables security features and high availability. With Lambda@Edge, Contentful can easily ship code that runs close to the user to deliver secure assets.

Learn how Storm Reply used AWS IoT services to implement a solution that is highly scalable, easy to maintain, and optimized to satisfy custom requirements for Schenck Process Group, a global market leader in measurement and process technology. Storm Reply’s approach is to pair the edge device capabilities of AWS IoT Greengrass with the storage and processing power of AWS and pairing these tools with a custom, high-quality web application.