Category: Amazon Athena

This post was co-written by Andrei Papancea and Vlad Papancea of NLX and Sekhar Mallipeddi Travel impacts brought by the global pandemic left several airlines experiencing frequent flight disruptions, which increased flight scheduling change notifications being made to affected travelers. Every month, tens of thousands of passengers and related flight crew have to be contacted […]

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. In the last blog, Maximizing System Throughput, we talked about design patterns you can adopt to address immediate scaling challenges to provide a better customer experience. In this blog, we talk about architecture patterns to improve system resiliency, why observability […]

Data scientists use RStudio server as an Integrated Development Environment (IDE) to develop, publish, and share interactive web dashboards built on Shiny Server. Although it is possible to use virtual server infrastructure in the cloud to run R workloads, containerization offers significant operational benefits. Migrating R workloads into a serverless model in AWS, customers can […]

One of the use cases we hear from customers is that they want to provide very limited access to Amazon Workspaces users (for example contractors, consultants) in an AWS account. At the same time they want to allow them to query Amazon Simple Storage Service (Amazon S3) data in another account using Amazon Athena over a […]

Blog post contributors: Pablo Garbossa and Federico Alliani of Mercado Libre Introduction Mercado Libre (MELI) is the leading e-commerce and FinTech company in Latin America. We have a presence in 18 countries across Latin America, and our mission is to democratize commerce and payments to impact the development of the region. We manage an ecosystem […]

One of the keys to identifying timely and impactful actions is having enough raw material to work with. However, this up-to-date information typically lives in the databases that sit behind several different applications. One of the first steps to finding data-driven insights is gathering that information into a single store that an analyst can use […]

In an era where more and more data is generated, it becomes critical for businesses to derive value from it. With the help of supervised learning, it is possible to generate models to automatically make predictions or decisions by leveraging historical data. For example, image recognition for self-driving cars, predicting anomalies on X-rays, fraud detection […]

This post was co-written with Lucas Ceballos, CTO of Smadex Introduction Showing ads may seem to be a simple task, but it’s not. Showing the right ad to the right user is an incredibly complex challenge that involves multiple disciplines such as artificial intelligence, data science, and software engineering. Doing it one million times per […]

In North America, approximately 95% of adults over the age of 25 have a bank account. In the developing world, that number is only about 52%. Cryptocurrencies can provide a platform for millions of unbanked people in the world to achieve financial freedom on a more level financial playing field. Electroneum, a cryptocurrency company located […]

Leveraging Analytics and Machine Learning Tools for Readmissions Prediction This blog post was co-authored by Ujjwal Ratan, a senior AI/ML solutions architect on the global life sciences team. In Part 1, we looked at various options to ingest and store sensitive healthcare data using AWS. The post described our shared responsibility model and provided a […]